Overview

Dataset statistics

Number of variables122
Number of observations307511
Missing cells9152465
Missing cells (%)24.4%
Total size in memory286.2 MiB
Average record size in memory976.0 B

Variable types

Numeric106
Categorical16

Alerts

ORGANIZATION_TYPE has a high cardinality: 58 distinct valuesHigh cardinality
NAME_CONTRACT_TYPE is highly imbalanced (54.6%)Imbalance
NAME_TYPE_SUITE is highly imbalanced (66.1%)Imbalance
NAME_EDUCATION_TYPE is highly imbalanced (52.8%)Imbalance
NAME_HOUSING_TYPE is highly imbalanced (72.1%)Imbalance
HOUSETYPE_MODE is highly imbalanced (90.8%)Imbalance
EMERGENCYSTATE_MODE is highly imbalanced (89.1%)Imbalance
OWN_CAR_AGE has 202929 (66.0%) missing valuesMissing
OCCUPATION_TYPE has 96391 (31.3%) missing valuesMissing
EXT_SOURCE_1 has 173378 (56.4%) missing valuesMissing
EXT_SOURCE_3 has 60965 (19.8%) missing valuesMissing
APARTMENTS_AVG has 156061 (50.7%) missing valuesMissing
BASEMENTAREA_AVG has 179943 (58.5%) missing valuesMissing
YEARS_BEGINEXPLUATATION_AVG has 150007 (48.8%) missing valuesMissing
YEARS_BUILD_AVG has 204488 (66.5%) missing valuesMissing
COMMONAREA_AVG has 214865 (69.9%) missing valuesMissing
ELEVATORS_AVG has 163891 (53.3%) missing valuesMissing
ENTRANCES_AVG has 154828 (50.3%) missing valuesMissing
FLOORSMAX_AVG has 153020 (49.8%) missing valuesMissing
FLOORSMIN_AVG has 208642 (67.8%) missing valuesMissing
LANDAREA_AVG has 182590 (59.4%) missing valuesMissing
LIVINGAPARTMENTS_AVG has 210199 (68.4%) missing valuesMissing
LIVINGAREA_AVG has 154350 (50.2%) missing valuesMissing
NONLIVINGAPARTMENTS_AVG has 213514 (69.4%) missing valuesMissing
NONLIVINGAREA_AVG has 169682 (55.2%) missing valuesMissing
APARTMENTS_MODE has 156061 (50.7%) missing valuesMissing
BASEMENTAREA_MODE has 179943 (58.5%) missing valuesMissing
YEARS_BEGINEXPLUATATION_MODE has 150007 (48.8%) missing valuesMissing
YEARS_BUILD_MODE has 204488 (66.5%) missing valuesMissing
COMMONAREA_MODE has 214865 (69.9%) missing valuesMissing
ELEVATORS_MODE has 163891 (53.3%) missing valuesMissing
ENTRANCES_MODE has 154828 (50.3%) missing valuesMissing
FLOORSMAX_MODE has 153020 (49.8%) missing valuesMissing
FLOORSMIN_MODE has 208642 (67.8%) missing valuesMissing
LANDAREA_MODE has 182590 (59.4%) missing valuesMissing
LIVINGAPARTMENTS_MODE has 210199 (68.4%) missing valuesMissing
LIVINGAREA_MODE has 154350 (50.2%) missing valuesMissing
NONLIVINGAPARTMENTS_MODE has 213514 (69.4%) missing valuesMissing
NONLIVINGAREA_MODE has 169682 (55.2%) missing valuesMissing
APARTMENTS_MEDI has 156061 (50.7%) missing valuesMissing
BASEMENTAREA_MEDI has 179943 (58.5%) missing valuesMissing
YEARS_BEGINEXPLUATATION_MEDI has 150007 (48.8%) missing valuesMissing
YEARS_BUILD_MEDI has 204488 (66.5%) missing valuesMissing
COMMONAREA_MEDI has 214865 (69.9%) missing valuesMissing
ELEVATORS_MEDI has 163891 (53.3%) missing valuesMissing
ENTRANCES_MEDI has 154828 (50.3%) missing valuesMissing
FLOORSMAX_MEDI has 153020 (49.8%) missing valuesMissing
FLOORSMIN_MEDI has 208642 (67.8%) missing valuesMissing
LANDAREA_MEDI has 182590 (59.4%) missing valuesMissing
LIVINGAPARTMENTS_MEDI has 210199 (68.4%) missing valuesMissing
LIVINGAREA_MEDI has 154350 (50.2%) missing valuesMissing
NONLIVINGAPARTMENTS_MEDI has 213514 (69.4%) missing valuesMissing
NONLIVINGAREA_MEDI has 169682 (55.2%) missing valuesMissing
FONDKAPREMONT_MODE has 210295 (68.4%) missing valuesMissing
HOUSETYPE_MODE has 154297 (50.2%) missing valuesMissing
TOTALAREA_MODE has 148431 (48.3%) missing valuesMissing
WALLSMATERIAL_MODE has 156341 (50.8%) missing valuesMissing
EMERGENCYSTATE_MODE has 145755 (47.4%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_HOUR has 41519 (13.5%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_DAY has 41519 (13.5%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_WEEK has 41519 (13.5%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_MON has 41519 (13.5%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_QRT has 41519 (13.5%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_YEAR has 41519 (13.5%) missing valuesMissing
AMT_INCOME_TOTAL is highly skewed (γ1 = 391.5596541)Skewed
FLAG_MOBIL is highly skewed (γ1 = -554.5367436)Skewed
FLAG_CONT_MOBILE is highly skewed (γ1 = -23.08117235)Skewed
FLAG_DOCUMENT_2 is highly skewed (γ1 = 153.7918174)Skewed
FLAG_DOCUMENT_4 is highly skewed (γ1 = 110.8943644)Skewed
FLAG_DOCUMENT_7 is highly skewed (γ1 = 72.17410795)Skewed
FLAG_DOCUMENT_10 is highly skewed (γ1 = 209.5890537)Skewed
FLAG_DOCUMENT_12 is highly skewed (γ1 = 392.1147791)Skewed
FLAG_DOCUMENT_15 is highly skewed (γ1 = 28.69933309)Skewed
FLAG_DOCUMENT_17 is highly skewed (γ1 = 61.21414027)Skewed
FLAG_DOCUMENT_19 is highly skewed (γ1 = 40.95613431)Skewed
FLAG_DOCUMENT_20 is highly skewed (γ1 = 44.3648968)Skewed
FLAG_DOCUMENT_21 is highly skewed (γ1 = 54.61293914)Skewed
AMT_REQ_CREDIT_BUREAU_DAY is highly skewed (γ1 = 27.04350471)Skewed
AMT_REQ_CREDIT_BUREAU_QRT is highly skewed (γ1 = 134.365776)Skewed
SK_ID_CURR has unique valuesUnique
TARGET has 282686 (91.9%) zerosZeros
CNT_CHILDREN has 215371 (70.0%) zerosZeros
FLAG_EMP_PHONE has 55386 (18.0%) zerosZeros
FLAG_WORK_PHONE has 246203 (80.1%) zerosZeros
FLAG_PHONE has 221080 (71.9%) zerosZeros
FLAG_EMAIL has 290069 (94.3%) zerosZeros
REG_REGION_NOT_LIVE_REGION has 302854 (98.5%) zerosZeros
REG_REGION_NOT_WORK_REGION has 291899 (94.9%) zerosZeros
LIVE_REGION_NOT_WORK_REGION has 295008 (95.9%) zerosZeros
REG_CITY_NOT_LIVE_CITY has 283472 (92.2%) zerosZeros
REG_CITY_NOT_WORK_CITY has 236644 (77.0%) zerosZeros
LIVE_CITY_NOT_WORK_CITY has 252296 (82.0%) zerosZeros
BASEMENTAREA_AVG has 14745 (4.8%) zerosZeros
COMMONAREA_AVG has 8442 (2.7%) zerosZeros
ELEVATORS_AVG has 85718 (27.9%) zerosZeros
LANDAREA_AVG has 15600 (5.1%) zerosZeros
NONLIVINGAPARTMENTS_AVG has 54549 (17.7%) zerosZeros
NONLIVINGAREA_AVG has 58735 (19.1%) zerosZeros
BASEMENTAREA_MODE has 16598 (5.4%) zerosZeros
COMMONAREA_MODE has 9690 (3.2%) zerosZeros
ELEVATORS_MODE has 89498 (29.1%) zerosZeros
FLOORSMAX_MODE has 3415 (1.1%) zerosZeros
LANDAREA_MODE has 17453 (5.7%) zerosZeros
NONLIVINGAPARTMENTS_MODE has 59255 (19.3%) zerosZeros
NONLIVINGAREA_MODE has 67126 (21.8%) zerosZeros
BASEMENTAREA_MEDI has 14991 (4.9%) zerosZeros
COMMONAREA_MEDI has 8691 (2.8%) zerosZeros
ELEVATORS_MEDI has 87026 (28.3%) zerosZeros
LANDAREA_MEDI has 15919 (5.2%) zerosZeros
NONLIVINGAPARTMENTS_MEDI has 56097 (18.2%) zerosZeros
NONLIVINGAREA_MEDI has 60954 (19.8%) zerosZeros
OBS_30_CNT_SOCIAL_CIRCLE has 163910 (53.3%) zerosZeros
DEF_30_CNT_SOCIAL_CIRCLE has 271324 (88.2%) zerosZeros
OBS_60_CNT_SOCIAL_CIRCLE has 164666 (53.5%) zerosZeros
DEF_60_CNT_SOCIAL_CIRCLE has 280721 (91.3%) zerosZeros
DAYS_LAST_PHONE_CHANGE has 37672 (12.3%) zerosZeros
FLAG_DOCUMENT_2 has 307498 (> 99.9%) zerosZeros
FLAG_DOCUMENT_3 has 89171 (29.0%) zerosZeros
FLAG_DOCUMENT_4 has 307486 (> 99.9%) zerosZeros
FLAG_DOCUMENT_5 has 302863 (98.5%) zerosZeros
FLAG_DOCUMENT_6 has 280433 (91.2%) zerosZeros
FLAG_DOCUMENT_7 has 307452 (> 99.9%) zerosZeros
FLAG_DOCUMENT_8 has 282487 (91.9%) zerosZeros
FLAG_DOCUMENT_9 has 306313 (99.6%) zerosZeros
FLAG_DOCUMENT_10 has 307504 (> 99.9%) zerosZeros
FLAG_DOCUMENT_11 has 306308 (99.6%) zerosZeros
FLAG_DOCUMENT_12 has 307509 (> 99.9%) zerosZeros
FLAG_DOCUMENT_13 has 306427 (99.6%) zerosZeros
FLAG_DOCUMENT_14 has 306608 (99.7%) zerosZeros
FLAG_DOCUMENT_15 has 307139 (99.9%) zerosZeros
FLAG_DOCUMENT_16 has 304458 (99.0%) zerosZeros
FLAG_DOCUMENT_17 has 307429 (> 99.9%) zerosZeros
FLAG_DOCUMENT_18 has 305011 (99.2%) zerosZeros
FLAG_DOCUMENT_19 has 307328 (99.9%) zerosZeros
FLAG_DOCUMENT_20 has 307355 (99.9%) zerosZeros
FLAG_DOCUMENT_21 has 307408 (> 99.9%) zerosZeros
AMT_REQ_CREDIT_BUREAU_HOUR has 264366 (86.0%) zerosZeros
AMT_REQ_CREDIT_BUREAU_DAY has 264503 (86.0%) zerosZeros
AMT_REQ_CREDIT_BUREAU_WEEK has 257456 (83.7%) zerosZeros
AMT_REQ_CREDIT_BUREAU_MON has 222233 (72.3%) zerosZeros
AMT_REQ_CREDIT_BUREAU_QRT has 215417 (70.1%) zerosZeros
AMT_REQ_CREDIT_BUREAU_YEAR has 71801 (23.3%) zerosZeros

Reproduction

Analysis started2023-02-02 08:10:09.399120
Analysis finished2023-02-02 08:10:27.894372
Duration18.5 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

SK_ID_CURR
Real number (ℝ)

Distinct307511
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean278180.5186
Minimum100002
Maximum456255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:10:29.038352image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum100002
5-th percentile117945.5
Q1189145.5
median278202
Q3367142.5
95-th percentile438427.5
Maximum456255
Range356253
Interquartile range (IQR)177997

Descriptive statistics

Standard deviation102790.1753
Coefficient of variation (CV)0.3695088926
Kurtosis-1.198987778
Mean278180.5186
Median Absolute Deviation (MAD)88999
Skewness-0.001200235077
Sum8.554356945 × 1010
Variance1.056582015 × 1010
MonotonicityStrictly increasing
2023-02-02T09:10:30.003350image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100002 1
 
< 0.1%
337664 1
 
< 0.1%
337661 1
 
< 0.1%
337660 1
 
< 0.1%
337659 1
 
< 0.1%
337658 1
 
< 0.1%
337657 1
 
< 0.1%
337656 1
 
< 0.1%
337655 1
 
< 0.1%
337654 1
 
< 0.1%
Other values (307501) 307501
> 99.9%
ValueCountFrequency (%)
100002 1
< 0.1%
100003 1
< 0.1%
100004 1
< 0.1%
100006 1
< 0.1%
100007 1
< 0.1%
ValueCountFrequency (%)
456255 1
< 0.1%
456254 1
< 0.1%
456253 1
< 0.1%
456252 1
< 0.1%
456251 1
< 0.1%

TARGET
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08072881946
Minimum0
Maximum1
Zeros282686
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:10:30.956545image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2724186456
Coefficient of variation (CV)3.37449064
Kurtosis7.475109389
Mean0.08072881946
Median Absolute Deviation (MAD)0
Skewness3.078158666
Sum24825
Variance0.0742119185
MonotonicityNot monotonic
2023-02-02T09:10:31.653554image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 282686
91.9%
1 24825
 
8.1%
ValueCountFrequency (%)
0 282686
91.9%
1 24825
 
8.1%
ValueCountFrequency (%)
1 24825
 
8.1%
0 282686
91.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
Cash loans
278232 
Revolving loans
29279 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCash loans
2nd rowCash loans
3rd rowRevolving loans
4th rowCash loans
5th rowCash loans

Common Values

ValueCountFrequency (%)
Cash loans 278232
90.5%
Revolving loans 29279
 
9.5%

Common Values (Plot)

2023-02-02T09:10:33.163549image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

CODE_GENDER
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
F
202448 
M
105059 
XNA
 
4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowF
3rd rowM
4th rowF
5th rowM

Common Values

ValueCountFrequency (%)
F 202448
65.8%
M 105059
34.2%
XNA 4
 
< 0.1%

Common Values (Plot)

2023-02-02T09:10:34.162589image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

FLAG_OWN_CAR
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
N
202924 
Y
104587 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowY
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 202924
66.0%
Y 104587
34.0%

Common Values (Plot)

2023-02-02T09:10:34.947545image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

FLAG_OWN_REALTY
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
Y
213312 
N
94199 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowN
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y 213312
69.4%
N 94199
30.6%

Common Values (Plot)

2023-02-02T09:10:35.674572image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

CNT_CHILDREN
Real number (ℝ)

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4170517477
Minimum0
Maximum19
Zeros215371
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:10:36.346547image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7221213844
Coefficient of variation (CV)1.731491088
Kurtosis7.904106359
Mean0.4170517477
Median Absolute Deviation (MAD)0
Skewness1.97460447
Sum128248
Variance0.5214592939
MonotonicityNot monotonic
2023-02-02T09:10:37.094587image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 215371
70.0%
1 61119
 
19.9%
2 26749
 
8.7%
3 3717
 
1.2%
4 429
 
0.1%
5 84
 
< 0.1%
6 21
 
< 0.1%
7 7
 
< 0.1%
14 3
 
< 0.1%
8 2
 
< 0.1%
Other values (5) 9
 
< 0.1%
ValueCountFrequency (%)
0 215371
70.0%
1 61119
 
19.9%
2 26749
 
8.7%
3 3717
 
1.2%
4 429
 
0.1%
ValueCountFrequency (%)
19 2
< 0.1%
14 3
< 0.1%
12 2
< 0.1%
11 1
 
< 0.1%
10 2
< 0.1%

AMT_INCOME_TOTAL
Real number (ℝ)

Distinct2548
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168797.9193
Minimum25650
Maximum117000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:10:38.078425image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum25650
5-th percentile67500
Q1112500
median147150
Q3202500
95-th percentile337500
Maximum117000000
Range116974350
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation237123.1463
Coefficient of variation (CV)1.404775291
Kurtosis191786.5544
Mean168797.9193
Median Absolute Deviation (MAD)43650
Skewness391.5596541
Sum5.190721696 × 1010
Variance5.62273865 × 1010
MonotonicityNot monotonic
2023-02-02T09:10:39.170598image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135000 35750
 
11.6%
112500 31019
 
10.1%
157500 26556
 
8.6%
180000 24719
 
8.0%
90000 22483
 
7.3%
225000 20698
 
6.7%
202500 16341
 
5.3%
67500 11147
 
3.6%
270000 10827
 
3.5%
81000 6001
 
2.0%
Other values (2538) 101970
33.2%
ValueCountFrequency (%)
25650 2
 
< 0.1%
26100 3
 
< 0.1%
26460 1
 
< 0.1%
26550 2
 
< 0.1%
27000 66
< 0.1%
ValueCountFrequency (%)
117000000 1
< 0.1%
18000090 1
< 0.1%
13500000 1
< 0.1%
9000000 1
< 0.1%
6750000 1
< 0.1%

AMT_CREDIT
Real number (ℝ)

Distinct5603
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean599025.9997
Minimum45000
Maximum4050000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:10:40.354614image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum45000
5-th percentile135000
Q1270000
median513531
Q3808650
95-th percentile1350000
Maximum4050000
Range4005000
Interquartile range (IQR)538650

Descriptive statistics

Standard deviation402490.777
Coefficient of variation (CV)0.6719086938
Kurtosis1.934041301
Mean599025.9997
Median Absolute Deviation (MAD)251469
Skewness1.234778497
Sum1.842070842 × 1011
Variance1.619988256 × 1011
MonotonicityNot monotonic
2023-02-02T09:10:41.481205image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450000 9709
 
3.2%
675000 8877
 
2.9%
225000 8162
 
2.7%
180000 7342
 
2.4%
270000 7241
 
2.4%
900000 6246
 
2.0%
254700 4500
 
1.5%
545040 4437
 
1.4%
808650 4152
 
1.4%
135000 3660
 
1.2%
Other values (5593) 243185
79.1%
ValueCountFrequency (%)
45000 230
0.1%
47970 218
0.1%
48519 1
 
< 0.1%
49455 19
 
< 0.1%
49500 40
 
< 0.1%
ValueCountFrequency (%)
4050000 8
< 0.1%
4031032.5 1
 
< 0.1%
4027680 1
 
< 0.1%
3956274 1
 
< 0.1%
3860019 1
 
< 0.1%

AMT_ANNUITY
Real number (ℝ)

Distinct13672
Distinct (%)4.4%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27108.57391
Minimum1615.5
Maximum258025.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:10:42.597161image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1615.5
5-th percentile9000
Q116524
median24903
Q334596
95-th percentile53325
Maximum258025.5
Range256410
Interquartile range (IQR)18072

Descriptive statistics

Standard deviation14493.73732
Coefficient of variation (CV)0.5346551008
Kurtosis7.707319915
Mean27108.57391
Median Absolute Deviation (MAD)8815.5
Skewness1.579777364
Sum8335859368
Variance210068421.4
MonotonicityNot monotonic
2023-02-02T09:10:43.687568image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9000 6385
 
2.1%
13500 5514
 
1.8%
6750 2279
 
0.7%
10125 2035
 
0.7%
37800 1602
 
0.5%
11250 1459
 
0.5%
26217 1453
 
0.5%
20250 1345
 
0.4%
12375 1339
 
0.4%
31653 1269
 
0.4%
Other values (13662) 282819
92.0%
ValueCountFrequency (%)
1615.5 1
< 0.1%
1980 2
< 0.1%
1993.5 1
< 0.1%
2052 1
< 0.1%
2164.5 2
< 0.1%
ValueCountFrequency (%)
258025.5 1
 
< 0.1%
230161.5 1
 
< 0.1%
225000 23
< 0.1%
220297.5 1
 
< 0.1%
216589.5 1
 
< 0.1%

AMT_GOODS_PRICE
Real number (ℝ)

Distinct1002
Distinct (%)0.3%
Missing278
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean538396.2074
Minimum40500
Maximum4050000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:10:44.780593image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum40500
5-th percentile135000
Q1238500
median450000
Q3679500
95-th percentile1305000
Maximum4050000
Range4009500
Interquartile range (IQR)441000

Descriptive statistics

Standard deviation369446.4605
Coefficient of variation (CV)0.6861981111
Kurtosis2.431916479
Mean538396.2074
Median Absolute Deviation (MAD)225000
Skewness1.349000341
Sum1.65413082 × 1011
Variance1.364906872 × 1011
MonotonicityNot monotonic
2023-02-02T09:10:45.830593image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450000 26022
 
8.5%
225000 25282
 
8.2%
675000 24962
 
8.1%
900000 15416
 
5.0%
270000 11428
 
3.7%
180000 10123
 
3.3%
454500 9157
 
3.0%
1125000 9050
 
2.9%
135000 8206
 
2.7%
315000 5225
 
1.7%
Other values (992) 162362
52.8%
ValueCountFrequency (%)
40500 1
 
< 0.1%
45000 1169
0.4%
49500 157
 
0.1%
50751 1
 
< 0.1%
54000 290
 
0.1%
ValueCountFrequency (%)
4050000 8
< 0.1%
3825000 1
 
< 0.1%
3712500 1
 
< 0.1%
3600000 3
 
< 0.1%
3555000 1
 
< 0.1%

NAME_TYPE_SUITE
Categorical

Distinct7
Distinct (%)< 0.1%
Missing1292
Missing (%)0.4%
Memory size2.3 MiB
Unaccompanied
248526 
Family
40149 
Spouse, partner
 
11370
Children
 
3267
Other_B
 
1770
Other values (2)
 
1137

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnaccompanied
2nd rowFamily
3rd rowUnaccompanied
4th rowUnaccompanied
5th rowUnaccompanied

Common Values

ValueCountFrequency (%)
Unaccompanied 248526
80.8%
Family 40149
 
13.1%
Spouse, partner 11370
 
3.7%
Children 3267
 
1.1%
Other_B 1770
 
0.6%
Other_A 866
 
0.3%
Group of people 271
 
0.1%
(Missing) 1292
 
0.4%

Common Values (Plot)

2023-02-02T09:10:47.049554image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

NAME_INCOME_TYPE
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
Working
158774 
Commercial associate
71617 
Pensioner
55362 
State servant
21703 
Unemployed
 
22
Other values (3)
 
33

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWorking
2nd rowState servant
3rd rowWorking
4th rowWorking
5th rowWorking

Common Values

ValueCountFrequency (%)
Working 158774
51.6%
Commercial associate 71617
23.3%
Pensioner 55362
 
18.0%
State servant 21703
 
7.1%
Unemployed 22
 
< 0.1%
Student 18
 
< 0.1%
Businessman 10
 
< 0.1%
Maternity leave 5
 
< 0.1%

Common Values (Plot)

2023-02-02T09:10:48.196603image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
Secondary / secondary special
218391 
Higher education
74863 
Incomplete higher
 
10277
Lower secondary
 
3816
Academic degree
 
164

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSecondary / secondary special
2nd rowHigher education
3rd rowSecondary / secondary special
4th rowSecondary / secondary special
5th rowSecondary / secondary special

Common Values

ValueCountFrequency (%)
Secondary / secondary special 218391
71.0%
Higher education 74863
 
24.3%
Incomplete higher 10277
 
3.3%
Lower secondary 3816
 
1.2%
Academic degree 164
 
0.1%

Common Values (Plot)

2023-02-02T09:10:49.286565image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
Married
196432 
Single / not married
45444 
Civil marriage
29775 
Separated
19770 
Widow
 
16088

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSingle / not married
2nd rowMarried
3rd rowSingle / not married
4th rowCivil marriage
5th rowSingle / not married

Common Values

ValueCountFrequency (%)
Married 196432
63.9%
Single / not married 45444
 
14.8%
Civil marriage 29775
 
9.7%
Separated 19770
 
6.4%
Widow 16088
 
5.2%
Unknown 2
 
< 0.1%

Common Values (Plot)

2023-02-02T09:10:50.358574image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
House / apartment
272868 
With parents
 
14840
Municipal apartment
 
11183
Rented apartment
 
4881
Office apartment
 
2617

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHouse / apartment
2nd rowHouse / apartment
3rd rowHouse / apartment
4th rowHouse / apartment
5th rowHouse / apartment

Common Values

ValueCountFrequency (%)
House / apartment 272868
88.7%
With parents 14840
 
4.8%
Municipal apartment 11183
 
3.6%
Rented apartment 4881
 
1.6%
Office apartment 2617
 
0.9%
Co-op apartment 1122
 
0.4%

Common Values (Plot)

2023-02-02T09:10:51.408560image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02086811206
Minimum0.00029
Maximum0.072508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:10:52.435576image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.00029
5-th percentile0.00496
Q10.010006
median0.01885
Q30.028663
95-th percentile0.04622
Maximum0.072508
Range0.072218
Interquartile range (IQR)0.018657

Descriptive statistics

Standard deviation0.01383128012
Coefficient of variation (CV)0.66279499
Kurtosis3.260065334
Mean0.02086811206
Median Absolute Deviation (MAD)0.009193
Skewness1.488008521
Sum6417.174007
Variance0.0001913043098
MonotonicityNot monotonic
2023-02-02T09:10:53.489562image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.035792 16408
 
5.3%
0.04622 13442
 
4.4%
0.030755 12163
 
4.0%
0.025164 11950
 
3.9%
0.026392 11601
 
3.8%
0.031329 11321
 
3.7%
0.028663 11157
 
3.6%
0.019101 8694
 
2.8%
0.072508 8412
 
2.7%
0.020713 8066
 
2.6%
Other values (71) 194297
63.2%
ValueCountFrequency (%)
0.00029 2
 
< 0.1%
0.000533 39
 
< 0.1%
0.000938 28
 
< 0.1%
0.001276 558
0.2%
0.001333 235
0.1%
ValueCountFrequency (%)
0.072508 8412
2.7%
0.04622 13442
4.4%
0.035792 16408
5.3%
0.032561 6636
2.2%
0.031329 11321
3.7%

DAYS_BIRTH
Real number (ℝ)

Distinct17460
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16036.99507
Minimum-25229
Maximum-7489
Zeros0
Zeros (%)0.0%
Negative307511
Negative (%)100.0%
Memory size2.3 MiB
2023-02-02T09:10:55.176561image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-25229
5-th percentile-23204
Q1-19682
median-15750
Q3-12413
95-th percentile-9407
Maximum-7489
Range17740
Interquartile range (IQR)7269

Descriptive statistics

Standard deviation4363.988632
Coefficient of variation (CV)-0.2721200957
Kurtosis-1.04912577
Mean-16036.99507
Median Absolute Deviation (MAD)3630
Skewness-0.1156733117
Sum-4931552390
Variance19044396.78
MonotonicityNot monotonic
2023-02-02T09:10:56.249604image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-13749 43
 
< 0.1%
-13481 42
 
< 0.1%
-18248 41
 
< 0.1%
-10020 41
 
< 0.1%
-15771 40
 
< 0.1%
-10292 40
 
< 0.1%
-14267 39
 
< 0.1%
-13263 39
 
< 0.1%
-11664 39
 
< 0.1%
-14395 39
 
< 0.1%
Other values (17450) 307108
99.9%
ValueCountFrequency (%)
-25229 1
 
< 0.1%
-25201 2
< 0.1%
-25200 1
 
< 0.1%
-25197 2
< 0.1%
-25196 4
< 0.1%
ValueCountFrequency (%)
-7489 1
 
< 0.1%
-7673 1
 
< 0.1%
-7676 2
< 0.1%
-7678 3
< 0.1%
-7679 1
 
< 0.1%

DAYS_EMPLOYED
Real number (ℝ)

Distinct12574
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63815.0459
Minimum-17912
Maximum365243
Zeros2
Zeros (%)< 0.1%
Negative252135
Negative (%)82.0%
Memory size2.3 MiB
2023-02-02T09:10:57.366029image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-17912
5-th percentile-6742.5
Q1-2760
median-1213
Q3-289
95-th percentile365243
Maximum365243
Range383155
Interquartile range (IQR)2471

Descriptive statistics

Standard deviation141275.7665
Coefficient of variation (CV)2.213831621
Kurtosis0.7716123807
Mean63815.0459
Median Absolute Deviation (MAD)1091
Skewness1.664346198
Sum1.962382858 × 1010
Variance1.995884221 × 1010
MonotonicityNot monotonic
2023-02-02T09:10:58.387032image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
365243 55374
 
18.0%
-200 156
 
0.1%
-224 152
 
< 0.1%
-230 151
 
< 0.1%
-199 151
 
< 0.1%
-212 150
 
< 0.1%
-384 143
 
< 0.1%
-229 143
 
< 0.1%
-231 140
 
< 0.1%
-215 138
 
< 0.1%
Other values (12564) 250813
81.6%
ValueCountFrequency (%)
-17912 1
< 0.1%
-17583 1
< 0.1%
-17546 1
< 0.1%
-17531 1
< 0.1%
-17522 1
< 0.1%
ValueCountFrequency (%)
365243 55374
18.0%
0 2
 
< 0.1%
-1 1
 
< 0.1%
-2 2
 
< 0.1%
-3 3
 
< 0.1%

DAYS_REGISTRATION
Real number (ℝ)

Distinct15688
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4986.120328
Minimum-24672
Maximum0
Zeros80
Zeros (%)< 0.1%
Negative307431
Negative (%)> 99.9%
Memory size2.3 MiB
2023-02-02T09:10:59.479049image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-24672
5-th percentile-11416
Q1-7479.5
median-4504
Q3-2010
95-th percentile-330
Maximum0
Range24672
Interquartile range (IQR)5469.5

Descriptive statistics

Standard deviation3522.886321
Coefficient of variation (CV)-0.706538569
Kurtosis-0.3213466019
Mean-4986.120328
Median Absolute Deviation (MAD)2699
Skewness-0.5908716157
Sum-1533286848
Variance12410728.03
MonotonicityNot monotonic
2023-02-02T09:11:01.195037image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 113
 
< 0.1%
-7 98
 
< 0.1%
-6 96
 
< 0.1%
-4 92
 
< 0.1%
-2 92
 
< 0.1%
-5 86
 
< 0.1%
-3 84
 
< 0.1%
-9 84
 
< 0.1%
-14 80
 
< 0.1%
-21 80
 
< 0.1%
Other values (15678) 306606
99.7%
ValueCountFrequency (%)
-24672 1
< 0.1%
-23738 1
< 0.1%
-23416 1
< 0.1%
-22928 1
< 0.1%
-22858 1
< 0.1%
ValueCountFrequency (%)
0 80
< 0.1%
-1 113
< 0.1%
-2 92
< 0.1%
-3 84
< 0.1%
-4 92
< 0.1%

DAYS_ID_PUBLISH
Real number (ℝ)

Distinct6168
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2994.202373
Minimum-7197
Maximum0
Zeros16
Zeros (%)< 0.1%
Negative307495
Negative (%)> 99.9%
Memory size2.3 MiB
2023-02-02T09:11:03.358038image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-7197
5-th percentile-4944
Q1-4299
median-3254
Q3-1720
95-th percentile-375
Maximum0
Range7197
Interquartile range (IQR)2579

Descriptive statistics

Standard deviation1509.450419
Coefficient of variation (CV)-0.5041243813
Kurtosis-1.106807894
Mean-2994.202373
Median Absolute Deviation (MAD)1186
Skewness0.3493274932
Sum-920750166
Variance2278440.567
MonotonicityNot monotonic
2023-02-02T09:11:04.697042image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4053 169
 
0.1%
-4095 162
 
0.1%
-4046 161
 
0.1%
-4417 159
 
0.1%
-4256 158
 
0.1%
-4032 157
 
0.1%
-4151 157
 
0.1%
-4200 156
 
0.1%
-4171 155
 
0.1%
-4214 155
 
0.1%
Other values (6158) 305922
99.5%
ValueCountFrequency (%)
-7197 1
< 0.1%
-6551 1
< 0.1%
-6383 1
< 0.1%
-6337 1
< 0.1%
-6274 1
< 0.1%
ValueCountFrequency (%)
0 16
 
< 0.1%
-1 64
< 0.1%
-2 50
< 0.1%
-3 51
< 0.1%
-4 57
< 0.1%

OWN_CAR_AGE
Real number (ℝ)

Distinct62
Distinct (%)0.1%
Missing202929
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean12.06109082
Minimum0
Maximum91
Zeros2134
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:05.807026image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q315
95-th percentile30
Maximum91
Range91
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.94481158
Coefficient of variation (CV)0.9903591443
Kurtosis9.214945323
Mean12.06109082
Median Absolute Deviation (MAD)5
Skewness2.745422131
Sum1261373
Variance142.6785237
MonotonicityNot monotonic
2023-02-02T09:11:07.565029image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 7424
 
2.4%
6 6382
 
2.1%
3 6370
 
2.1%
8 5887
 
1.9%
2 5852
 
1.9%
4 5557
 
1.8%
1 5280
 
1.7%
9 5020
 
1.6%
10 4806
 
1.6%
14 4594
 
1.5%
Other values (52) 47410
 
15.4%
(Missing) 202929
66.0%
ValueCountFrequency (%)
0 2134
 
0.7%
1 5280
1.7%
2 5852
1.9%
3 6370
2.1%
4 5557
1.8%
ValueCountFrequency (%)
91 2
 
< 0.1%
69 1
 
< 0.1%
65 891
 
0.3%
64 2443
0.8%
63 2
 
< 0.1%

FLAG_MOBIL
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9999967481
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:08.516032image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.001803307015
Coefficient of variation (CV)0.00180331288
Kurtosis307511
Mean0.9999967481
Median Absolute Deviation (MAD)0
Skewness-554.5367436
Sum307510
Variance3.251916192 × 10-6
MonotonicityNot monotonic
2023-02-02T09:11:09.590025image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 307510
> 99.9%
0 1
 
< 0.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 307510
> 99.9%
ValueCountFrequency (%)
1 307510
> 99.9%
0 1
 
< 0.1%

FLAG_EMP_PHONE
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8198893698
Minimum0
Maximum1
Zeros55386
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:10.894025image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3842801989
Coefficient of variation (CV)0.4686976232
Kurtosis0.7718519499
Mean0.8198893698
Median Absolute Deviation (MAD)0
Skewness-1.664886462
Sum252125
Variance0.1476712713
MonotonicityNot monotonic
2023-02-02T09:11:12.066027image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 252125
82.0%
0 55386
 
18.0%
ValueCountFrequency (%)
0 55386
 
18.0%
1 252125
82.0%
ValueCountFrequency (%)
1 252125
82.0%
0 55386
 
18.0%

FLAG_WORK_PHONE
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1993684779
Minimum0
Maximum1
Zeros246203
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:12.880026image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3995262282
Coefficient of variation (CV)2.003958863
Kurtosis0.2648759067
Mean0.1993684779
Median Absolute Deviation (MAD)0
Skewness1.504949894
Sum61308
Variance0.159621207
MonotonicityNot monotonic
2023-02-02T09:11:13.538020image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 246203
80.1%
1 61308
 
19.9%
ValueCountFrequency (%)
0 246203
80.1%
1 61308
 
19.9%
ValueCountFrequency (%)
1 61308
 
19.9%
0 246203
80.1%

FLAG_CONT_MOBILE
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9981334001
Minimum0
Maximum1
Zeros574
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:14.164026image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04316389414
Coefficient of variation (CV)0.04324461454
Kurtosis530.7439687
Mean0.9981334001
Median Absolute Deviation (MAD)0
Skewness-23.08117235
Sum306937
Variance0.001863121758
MonotonicityNot monotonic
2023-02-02T09:11:14.828019image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 306937
99.8%
0 574
 
0.2%
ValueCountFrequency (%)
0 574
 
0.2%
1 306937
99.8%
ValueCountFrequency (%)
1 306937
99.8%
0 574
 
0.2%

FLAG_PHONE
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2810663684
Minimum0
Maximum1
Zeros221080
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:15.814025image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4495205469
Coefficient of variation (CV)1.599339506
Kurtosis-1.051170063
Mean0.2810663684
Median Absolute Deviation (MAD)0
Skewness0.974082529
Sum86431
Variance0.202068722
MonotonicityNot monotonic
2023-02-02T09:11:16.662021image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 221080
71.9%
1 86431
 
28.1%
ValueCountFrequency (%)
0 221080
71.9%
1 86431
 
28.1%
ValueCountFrequency (%)
1 86431
 
28.1%
0 221080
71.9%

FLAG_EMAIL
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05671992221
Minimum0
Maximum1
Zeros290069
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:17.293023image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2313070397
Coefficient of variation (CV)4.078056364
Kurtosis12.690846
Mean0.05671992221
Median Absolute Deviation (MAD)0
Skewness3.832853175
Sum17442
Variance0.05350294663
MonotonicityNot monotonic
2023-02-02T09:11:17.753023image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 290069
94.3%
1 17442
 
5.7%
ValueCountFrequency (%)
0 290069
94.3%
1 17442
 
5.7%
ValueCountFrequency (%)
1 17442
 
5.7%
0 290069
94.3%

OCCUPATION_TYPE
Categorical

Distinct18
Distinct (%)< 0.1%
Missing96391
Missing (%)31.3%
Memory size2.3 MiB
Laborers
55186 
Sales staff
32102 
Core staff
27570 
Managers
21371 
Drivers
18603 
Other values (13)
56288 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLaborers
2nd rowCore staff
3rd rowLaborers
4th rowLaborers
5th rowCore staff

Common Values

ValueCountFrequency (%)
Laborers 55186
17.9%
Sales staff 32102
 
10.4%
Core staff 27570
 
9.0%
Managers 21371
 
6.9%
Drivers 18603
 
6.0%
High skill tech staff 11380
 
3.7%
Accountants 9813
 
3.2%
Medicine staff 8537
 
2.8%
Security staff 6721
 
2.2%
Cooking staff 5946
 
1.9%
Other values (8) 13891
 
4.5%
(Missing) 96391
31.3%

CNT_FAM_MEMBERS
Real number (ℝ)

Distinct17
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.15266545
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:18.090021image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum20
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9106815692
Coefficient of variation (CV)0.4230483511
Kurtosis2.801976981
Mean2.15266545
Median Absolute Deviation (MAD)0
Skewness0.9875428137
Sum661964
Variance0.8293409204
MonotonicityNot monotonic
2023-02-02T09:11:18.437021image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 158357
51.5%
1 67847
22.1%
3 52601
 
17.1%
4 24697
 
8.0%
5 3478
 
1.1%
6 408
 
0.1%
7 81
 
< 0.1%
8 20
 
< 0.1%
9 6
 
< 0.1%
10 3
 
< 0.1%
Other values (7) 11
 
< 0.1%
ValueCountFrequency (%)
1 67847
22.1%
2 158357
51.5%
3 52601
 
17.1%
4 24697
 
8.0%
5 3478
 
1.1%
ValueCountFrequency (%)
20 2
< 0.1%
16 2
< 0.1%
15 1
< 0.1%
14 2
< 0.1%
13 1
< 0.1%

REGION_RATING_CLIENT
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.052463164
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:18.884026image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5090339028
Coefficient of variation (CV)0.2480112246
Kurtosis0.8004164375
Mean2.052463164
Median Absolute Deviation (MAD)0
Skewness0.08746834971
Sum631155
Variance0.2591155142
MonotonicityNot monotonic
2023-02-02T09:11:19.486024image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 226984
73.8%
3 48330
 
15.7%
1 32197
 
10.5%
ValueCountFrequency (%)
1 32197
 
10.5%
2 226984
73.8%
3 48330
 
15.7%
ValueCountFrequency (%)
3 48330
 
15.7%
2 226984
73.8%
1 32197
 
10.5%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.031520824
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:19.810022image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5027370329
Coefficient of variation (CV)0.2474683139
Kurtosis0.9335838303
Mean2.031520824
Median Absolute Deviation (MAD)0
Skewness0.05972981215
Sum624715
Variance0.2527445243
MonotonicityNot monotonic
2023-02-02T09:11:21.026026image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 229484
74.6%
3 43860
 
14.3%
1 34167
 
11.1%
ValueCountFrequency (%)
1 34167
 
11.1%
2 229484
74.6%
3 43860
 
14.3%
ValueCountFrequency (%)
3 43860
 
14.3%
2 229484
74.6%
1 34167
 
11.1%
Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
TUESDAY
53901 
WEDNESDAY
51934 
MONDAY
50714 
THURSDAY
50591 
FRIDAY
50338 
Other values (2)
50033 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWEDNESDAY
2nd rowMONDAY
3rd rowMONDAY
4th rowWEDNESDAY
5th rowTHURSDAY

Common Values

ValueCountFrequency (%)
TUESDAY 53901
17.5%
WEDNESDAY 51934
16.9%
MONDAY 50714
16.5%
THURSDAY 50591
16.5%
FRIDAY 50338
16.4%
SATURDAY 33852
11.0%
SUNDAY 16181
 
5.3%

Common Values (Plot)

2023-02-02T09:11:22.292041image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

HOUR_APPR_PROCESS_START
Real number (ℝ)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.06341887
Minimum0
Maximum23
Zeros40
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:23.195027image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q110
median12
Q314
95-th percentile17
Maximum23
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.265832255
Coefficient of variation (CV)0.270721948
Kurtosis-0.1941728655
Mean12.06341887
Median Absolute Deviation (MAD)2
Skewness-0.02802445946
Sum3709634
Variance10.66566032
MonotonicityNot monotonic
2023-02-02T09:11:23.896024image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10 37722
12.3%
11 37229
12.1%
12 34233
11.1%
13 30959
10.1%
14 27682
9.0%
9 27384
8.9%
15 24839
8.1%
16 20385
6.6%
8 15127
4.9%
17 14900
 
4.8%
Other values (14) 37051
12.0%
ValueCountFrequency (%)
0 40
 
< 0.1%
1 86
 
< 0.1%
2 305
 
0.1%
3 1230
0.4%
4 2090
0.7%
ValueCountFrequency (%)
23 41
 
< 0.1%
22 150
 
< 0.1%
21 405
 
0.1%
20 1196
 
0.4%
19 3848
1.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0151441737
Minimum0
Maximum1
Zeros302854
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:24.495995image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1221264763
Coefficient of variation (CV)8.064254852
Kurtosis61.04838402
Mean0.0151441737
Median Absolute Deviation (MAD)0
Skewness7.940276253
Sum4657
Variance0.01491487621
MonotonicityNot monotonic
2023-02-02T09:11:25.151867image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 302854
98.5%
1 4657
 
1.5%
ValueCountFrequency (%)
0 302854
98.5%
1 4657
 
1.5%
ValueCountFrequency (%)
1 4657
 
1.5%
0 302854
98.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05076891558
Minimum0
Maximum1
Zeros291899
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:26.099873image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2195258288
Coefficient of variation (CV)4.324020442
Kurtosis14.75083559
Mean0.05076891558
Median Absolute Deviation (MAD)0
Skewness4.092766748
Sum15612
Variance0.04819158951
MonotonicityNot monotonic
2023-02-02T09:11:26.925866image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 291899
94.9%
1 15612
 
5.1%
ValueCountFrequency (%)
0 291899
94.9%
1 15612
 
5.1%
ValueCountFrequency (%)
1 15612
 
5.1%
0 291899
94.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04065870814
Minimum0
Maximum1
Zeros295008
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:27.490881image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1974986188
Coefficient of variation (CV)4.857474028
Kurtosis19.63769792
Mean0.04065870814
Median Absolute Deviation (MAD)0
Skewness4.651620169
Sum12503
Variance0.03900570444
MonotonicityNot monotonic
2023-02-02T09:11:28.368875image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 295008
95.9%
1 12503
 
4.1%
ValueCountFrequency (%)
0 295008
95.9%
1 12503
 
4.1%
ValueCountFrequency (%)
1 12503
 
4.1%
0 295008
95.9%

REG_CITY_NOT_LIVE_CITY
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07817281333
Minimum0
Maximum1
Zeros283472
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:29.171267image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2684437724
Coefficient of variation (CV)3.433978655
Kurtosis7.877120671
Mean0.07817281333
Median Absolute Deviation (MAD)0
Skewness3.142780527
Sum24039
Variance0.07206205893
MonotonicityNot monotonic
2023-02-02T09:11:30.025784image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 283472
92.2%
1 24039
 
7.8%
ValueCountFrequency (%)
0 283472
92.2%
1 24039
 
7.8%
ValueCountFrequency (%)
1 24039
 
7.8%
0 283472
92.2%

REG_CITY_NOT_WORK_CITY
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2304535448
Minimum0
Maximum1
Zeros236644
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:30.960594image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4211238359
Coefficient of variation (CV)1.827369748
Kurtosis-0.3612503173
Mean0.2304535448
Median Absolute Deviation (MAD)0
Skewness1.280137505
Sum70867
Variance0.1773452852
MonotonicityNot monotonic
2023-02-02T09:11:32.352607image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 236644
77.0%
1 70867
 
23.0%
ValueCountFrequency (%)
0 236644
77.0%
1 70867
 
23.0%
ValueCountFrequency (%)
1 70867
 
23.0%
0 236644
77.0%

LIVE_CITY_NOT_WORK_CITY
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1795545525
Minimum0
Maximum1
Zeros252296
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:33.316597image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3838166154
Coefficient of variation (CV)2.137604477
Kurtosis0.7882204506
Mean0.1795545525
Median Absolute Deviation (MAD)0
Skewness1.669794995
Sum55215
Variance0.1473151942
MonotonicityNot monotonic
2023-02-02T09:11:34.412600image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 252296
82.0%
1 55215
 
18.0%
ValueCountFrequency (%)
0 252296
82.0%
1 55215
 
18.0%
ValueCountFrequency (%)
1 55215
 
18.0%
0 252296
82.0%
Distinct58
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
Business Entity Type 3
67992 
XNA
55374 
Self-employed
38412 
Other
16683 
Medicine
 
11193
Other values (53)
117857 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBusiness Entity Type 3
2nd rowSchool
3rd rowGovernment
4th rowBusiness Entity Type 3
5th rowReligion

Common Values

ValueCountFrequency (%)
Business Entity Type 3 67992
22.1%
XNA 55374
18.0%
Self-employed 38412
12.5%
Other 16683
 
5.4%
Medicine 11193
 
3.6%
Business Entity Type 2 10553
 
3.4%
Government 10404
 
3.4%
School 8893
 
2.9%
Trade: type 7 7831
 
2.5%
Kindergarten 6880
 
2.2%
Other values (48) 73296
23.8%

EXT_SOURCE_1
Real number (ℝ)

Distinct114584
Distinct (%)85.4%
Missing173378
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean0.5021298057
Minimum0.01456813241
Maximum0.9626927706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:35.810591image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.01456813241
5-th percentile0.1580212307
Q10.3340072887
median0.5059979305
Q30.6750525982
95-th percentile0.8322601466
Maximum0.9626927706
Range0.9481246381
Interquartile range (IQR)0.3410453096

Descriptive statistics

Standard deviation0.2110622493
Coefficient of variation (CV)0.4203340389
Kurtosis-0.9651552848
Mean0.5021298057
Median Absolute Deviation (MAD)0.1705072305
Skewness-0.0687550587
Sum67352.17722
Variance0.04454727307
MonotonicityNot monotonic
2023-02-02T09:11:37.135590image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5810147956 5
 
< 0.1%
0.5464264086 5
 
< 0.1%
0.443982118 5
 
< 0.1%
0.7657236984 5
 
< 0.1%
0.52819743 5
 
< 0.1%
0.4990017461 5
 
< 0.1%
0.6227066347 5
 
< 0.1%
0.6677395636 5
 
< 0.1%
0.6051516612 5
 
< 0.1%
0.5984686928 5
 
< 0.1%
Other values (114574) 134083
43.6%
(Missing) 173378
56.4%
ValueCountFrequency (%)
0.01456813241 1
< 0.1%
0.0146914824 1
< 0.1%
0.0150529213 1
< 0.1%
0.01560008058 1
< 0.1%
0.01709465779 1
< 0.1%
ValueCountFrequency (%)
0.9626927706 1
< 0.1%
0.9516239622 1
< 0.1%
0.9476493854 1
< 0.1%
0.9460976144 1
< 0.1%
0.9460755215 1
< 0.1%

EXT_SOURCE_2
Real number (ℝ)

Distinct119831
Distinct (%)39.1%
Missing660
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.5143926741
Minimum8.173616519 × 10-8
Maximum0.8549996664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:38.123590image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum8.173616519 × 10-8
5-th percentile0.133299146
Q10.3924574162
median0.5659614261
Q30.6636170897
95-th percentile0.7477341422
Maximum0.8549996664
Range0.8549995847
Interquartile range (IQR)0.2711596736

Descriptive statistics

Standard deviation0.191060155
Coefficient of variation (CV)0.3714286081
Kurtosis-0.2691308299
Mean0.5143926741
Median Absolute Deviation (MAD)0.1190824124
Skewness-0.793576045
Sum157841.9064
Variance0.03650398282
MonotonicityNot monotonic
2023-02-02T09:11:38.851591image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2858978721 721
 
0.2%
0.2622583692 417
 
0.1%
0.2652563402 343
 
0.1%
0.1596792335 322
 
0.1%
0.2653117485 306
 
0.1%
0.2665197754 244
 
0.1%
0.263143591 243
 
0.1%
0.1621445677 238
 
0.1%
0.162192106 234
 
0.1%
0.1631870355 184
 
0.1%
Other values (119821) 303599
98.7%
(Missing) 660
 
0.2%
ValueCountFrequency (%)
8.173616519 × 10-81
< 0.1%
1.315955581 × 10-61
< 0.1%
5.002108762 × 10-61
< 0.1%
5.600337749 × 10-61
< 0.1%
5.939650929 × 10-61
< 0.1%
ValueCountFrequency (%)
0.8549996664 26
< 0.1%
0.8217142128 1
 
< 0.1%
0.8213936274 1
 
< 0.1%
0.8206159442 1
 
< 0.1%
0.8206095061 1
 
< 0.1%

EXT_SOURCE_3
Real number (ℝ)

Distinct814
Distinct (%)0.3%
Missing60965
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean0.5108529062
Minimum0.0005272652387
Maximum0.8960095495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:39.640585image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.0005272652387
5-th percentile0.1547436313
Q10.3706496323
median0.5352762505
Q30.6690566948
95-th percentile0.7862666147
Maximum0.8960095495
Range0.8954822843
Interquartile range (IQR)0.2984070625

Descriptive statistics

Standard deviation0.1948443645
Coefficient of variation (CV)0.3814099168
Kurtosis-0.663463054
Mean0.5108529062
Median Absolute Deviation (MAD)0.1459374586
Skewness-0.4093904596
Sum125948.7406
Variance0.03796432636
MonotonicityNot monotonic
2023-02-02T09:11:40.387584image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7463002131 1460
 
0.5%
0.7136313997 1315
 
0.4%
0.6940926425 1276
 
0.4%
0.6706517531 1191
 
0.4%
0.652896552 1154
 
0.4%
0.5814837058 1141
 
0.4%
0.6894791426 1138
 
0.4%
0.5954562029 1136
 
0.4%
0.5549467685 1132
 
0.4%
0.6212263381 1109
 
0.4%
Other values (804) 234494
76.3%
(Missing) 60965
 
19.8%
ValueCountFrequency (%)
0.0005272652387 886
0.3%
0.01134571943 1
 
< 0.1%
0.01271592386 1
 
< 0.1%
0.01394846558 1
 
< 0.1%
0.01414826552 1
 
< 0.1%
ValueCountFrequency (%)
0.8960095495 1
 
< 0.1%
0.8939760746 2
 
< 0.1%
0.8876642018 1
 
< 0.1%
0.8854883942 3
 
< 0.1%
0.8825303128 26
< 0.1%

APARTMENTS_AVG
Real number (ℝ)

Distinct2339
Distinct (%)1.5%
Missing156061
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean0.1174404992
Minimum0
Maximum1
Zeros751
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:40.805591image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0082
Q10.0577
median0.0876
Q30.1485
95-th percentile0.3268
Maximum1
Range1
Interquartile range (IQR)0.0908

Descriptive statistics

Standard deviation0.1082402913
Coefficient of variation (CV)0.9216606883
Kurtosis11.39376679
Mean0.1174404992
Median Absolute Deviation (MAD)0.0433
Skewness2.641835786
Sum17786.3636
Variance0.01171596066
MonotonicityNot monotonic
2023-02-02T09:11:42.664602image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0825 6663
 
2.2%
0.0619 6332
 
2.1%
0.0928 4404
 
1.4%
0.0722 3986
 
1.3%
0.0082 3507
 
1.1%
0.0165 3027
 
1.0%
0.1031 2892
 
0.9%
0.1485 2769
 
0.9%
0.0124 2721
 
0.9%
0.0742 2231
 
0.7%
Other values (2329) 112918
36.7%
(Missing) 156061
50.7%
ValueCountFrequency (%)
0 751
0.2%
0.001 197
 
0.1%
0.0014 1
 
< 0.1%
0.0015 6
 
< 0.1%
0.0017 1
 
< 0.1%
ValueCountFrequency (%)
1 147
< 0.1%
0.9907 2
 
< 0.1%
0.9897 1
 
< 0.1%
0.9876 7
 
< 0.1%
0.9814 9
 
< 0.1%

BASEMENTAREA_AVG
Real number (ℝ)

MISSING  ZEROS 

Distinct3780
Distinct (%)3.0%
Missing179943
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.08844221905
Minimum0
Maximum1
Zeros14745
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:45.105602image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0442
median0.0763
Q30.1122
95-th percentile0.2237
Maximum1
Range1
Interquartile range (IQR)0.068

Descriptive statistics

Standard deviation0.08243815874
Coefficient of variation (CV)0.9321131878
Kurtosis25.93012027
Mean0.08844221905
Median Absolute Deviation (MAD)0.034
Skewness3.566306126
Sum11282.397
Variance0.006796050016
MonotonicityNot monotonic
2023-02-02T09:11:47.968586image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14745
 
4.8%
0.0818 251
 
0.1%
0.0545 251
 
0.1%
0.0727 248
 
0.1%
0.1091 246
 
0.1%
0.0796 245
 
0.1%
0.08 239
 
0.1%
0.0805 230
 
0.1%
0.0764 220
 
0.1%
0.0793 211
 
0.1%
Other values (3770) 110682
36.0%
(Missing) 179943
58.5%
ValueCountFrequency (%)
0 14745
4.8%
0.0001 99
 
< 0.1%
0.0002 38
 
< 0.1%
0.0003 8
 
< 0.1%
0.0004 33
 
< 0.1%
ValueCountFrequency (%)
1 130
< 0.1%
0.9945 1
 
< 0.1%
0.9694 2
 
< 0.1%
0.9682 1
 
< 0.1%
0.9677 1
 
< 0.1%
Distinct285
Distinct (%)0.2%
Missing150007
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean0.9777348582
Minimum0
Maximum1
Zeros514
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:49.852587image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9687
Q10.9767
median0.9816
Q30.9866
95-th percentile0.996
Maximum1
Range1
Interquartile range (IQR)0.0099

Descriptive statistics

Standard deviation0.05922331436
Coefficient of variation (CV)0.06057195759
Kurtosis248.1763368
Mean0.9777348582
Median Absolute Deviation (MAD)0.005
Skewness-15.51526447
Sum153997.1511
Variance0.003507400964
MonotonicityNot monotonic
2023-02-02T09:11:51.508584image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9871 4311
 
1.4%
0.9856 4189
 
1.4%
0.9861 4171
 
1.4%
0.9801 4123
 
1.3%
0.9866 4114
 
1.3%
0.9806 4096
 
1.3%
0.9851 4096
 
1.3%
0.9811 3986
 
1.3%
0.9816 3982
 
1.3%
0.9831 3970
 
1.3%
Other values (275) 116466
37.9%
(Missing) 150007
48.8%
ValueCountFrequency (%)
0 514
0.2%
0.0179 1
 
< 0.1%
0.0447 1
 
< 0.1%
0.0969 1
 
< 0.1%
0.0974 1
 
< 0.1%
ValueCountFrequency (%)
1 186
 
0.1%
0.9995 691
0.2%
0.999 906
0.3%
0.9985 1062
0.3%
0.998 1096
0.4%

YEARS_BUILD_AVG
Real number (ℝ)

Distinct149
Distinct (%)0.1%
Missing204488
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean0.7524714326
Minimum0
Maximum1
Zeros102
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:52.036587image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.592
Q10.6872
median0.7552
Q30.8232
95-th percentile0.9524
Maximum1
Range1
Interquartile range (IQR)0.136

Descriptive statistics

Standard deviation0.1132799266
Coefficient of variation (CV)0.1505438236
Kurtosis4.399757249
Mean0.7524714326
Median Absolute Deviation (MAD)0.068
Skewness-0.9624852036
Sum77521.8644
Variance0.01283234178
MonotonicityNot monotonic
2023-02-02T09:11:52.905588image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8232 2999
 
1.0%
0.8164 2864
 
0.9%
0.8028 2848
 
0.9%
0.728 2802
 
0.9%
0.7348 2761
 
0.9%
0.8096 2755
 
0.9%
0.83 2738
 
0.9%
0.796 2734
 
0.9%
0.7484 2731
 
0.9%
0.7688 2712
 
0.9%
Other values (139) 75079
 
24.4%
(Missing) 204488
66.5%
ValueCountFrequency (%)
0 102
< 0.1%
0.0004 2
 
< 0.1%
0.0072 4
 
< 0.1%
0.014 3
 
< 0.1%
0.0208 1
 
< 0.1%
ValueCountFrequency (%)
1 173
 
0.1%
0.9932 478
0.2%
0.9864 661
0.2%
0.9796 786
0.3%
0.9728 813
0.3%

COMMONAREA_AVG
Real number (ℝ)

MISSING  ZEROS 

Distinct3181
Distinct (%)3.4%
Missing214865
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean0.04462071541
Minimum0
Maximum1
Zeros8442
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:53.622585image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0078
median0.0211
Q30.0515
95-th percentile0.1601
Maximum1
Range1
Interquartile range (IQR)0.0437

Descriptive statistics

Standard deviation0.07603574505
Coefficient of variation (CV)1.704045853
Kurtosis45.98801696
Mean0.04462071541
Median Absolute Deviation (MAD)0.0173
Skewness5.457305396
Sum4133.9308
Variance0.005781434525
MonotonicityNot monotonic
2023-02-02T09:11:54.229585image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8442
 
2.7%
0.0079 544
 
0.2%
0.0078 475
 
0.2%
0.008 446
 
0.1%
0.0077 414
 
0.1%
0.0086 365
 
0.1%
0.0014 345
 
0.1%
0.007 343
 
0.1%
0.0013 317
 
0.1%
0.0069 314
 
0.1%
Other values (3171) 80641
 
26.2%
(Missing) 214865
69.9%
ValueCountFrequency (%)
0 8442
2.7%
0.0001 45
 
< 0.1%
0.0002 67
 
< 0.1%
0.0003 84
 
< 0.1%
0.0004 62
 
< 0.1%
ValueCountFrequency (%)
1 92
< 0.1%
0.9937 2
 
< 0.1%
0.9906 2
 
< 0.1%
0.9833 1
 
< 0.1%
0.9601 1
 
< 0.1%

ELEVATORS_AVG
Real number (ℝ)

MISSING  ZEROS 

Distinct257
Distinct (%)0.2%
Missing163891
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean0.07894151232
Minimum0
Maximum1
Zeros85718
Zeros (%)27.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:54.555588image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.12
95-th percentile0.36
Maximum1
Range1
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.1345760011
Coefficient of variation (CV)1.704755801
Kurtosis7.869390119
Mean0.07894151232
Median Absolute Deviation (MAD)0
Skewness2.439428669
Sum11337.58
Variance0.01811070007
MonotonicityNot monotonic
2023-02-02T09:11:54.792586image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85718
27.9%
0.08 9886
 
3.2%
0.16 8806
 
2.9%
0.24 6071
 
2.0%
0.12 5593
 
1.8%
0.04 4585
 
1.5%
0.2 4072
 
1.3%
0.32 2788
 
0.9%
0.28 2272
 
0.7%
0.4 1532
 
0.5%
Other values (247) 12297
 
4.0%
(Missing) 163891
53.3%
ValueCountFrequency (%)
0 85718
27.9%
0.002 1
 
< 0.1%
0.0024 1
 
< 0.1%
0.0048 3
 
< 0.1%
0.0064 5
 
< 0.1%
ValueCountFrequency (%)
1 158
0.1%
0.96 81
< 0.1%
0.9332 2
 
< 0.1%
0.92 20
 
< 0.1%
0.9 6
 
< 0.1%

ENTRANCES_AVG
Real number (ℝ)

Distinct285
Distinct (%)0.2%
Missing154828
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.1497246701
Minimum0
Maximum1
Zeros323
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:55.068599image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.069
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1379

Descriptive statistics

Standard deviation0.1000491208
Coefficient of variation (CV)0.6682206794
Kurtosis11.5932117
Mean0.1497246701
Median Absolute Deviation (MAD)0.0689
Skewness2.399716697
Sum22860.4118
Variance0.01000982656
MonotonicityNot monotonic
2023-02-02T09:11:55.394593image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1379 34007
 
11.1%
0.069 22956
 
7.5%
0.1034 19533
 
6.4%
0.2069 19062
 
6.2%
0.0345 15380
 
5.0%
0.1724 9185
 
3.0%
0.2759 7895
 
2.6%
0.2414 4165
 
1.4%
0.3448 2066
 
0.7%
0.3103 2049
 
0.7%
Other values (275) 16385
 
5.3%
(Missing) 154828
50.3%
ValueCountFrequency (%)
0 323
0.1%
0.0055 1
 
< 0.1%
0.0086 2
 
< 0.1%
0.0114 1
 
< 0.1%
0.0172 7
 
< 0.1%
ValueCountFrequency (%)
1 153
< 0.1%
0.9655 25
 
< 0.1%
0.931 21
 
< 0.1%
0.8966 52
 
< 0.1%
0.8621 14
 
< 0.1%

FLOORSMAX_AVG
Real number (ℝ)

Distinct403
Distinct (%)0.3%
Missing153020
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean0.226281907
Minimum0
Maximum1
Zeros2938
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:55.783030image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.4792
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.1446406995
Coefficient of variation (CV)0.6392057652
Kurtosis2.432545153
Mean0.226281907
Median Absolute Deviation (MAD)0.0834
Skewness1.226453556
Sum34958.5181
Variance0.02092093197
MonotonicityNot monotonic
2023-02-02T09:11:57.187084image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1667 61875
20.1%
0.3333 31909
 
10.4%
0.0417 14600
 
4.7%
0.375 7926
 
2.6%
0.125 6974
 
2.3%
0.0833 6586
 
2.1%
0 2938
 
1.0%
0.4583 2828
 
0.9%
0.625 1915
 
0.6%
0.5417 1685
 
0.5%
Other values (393) 15255
 
5.0%
(Missing) 153020
49.8%
ValueCountFrequency (%)
0 2938
1.0%
0.0067 1
 
< 0.1%
0.0083 3
 
< 0.1%
0.01 4
 
< 0.1%
0.0104 5
 
< 0.1%
ValueCountFrequency (%)
1 167
0.1%
0.9792 1
 
< 0.1%
0.9583 83
< 0.1%
0.9479 2
 
< 0.1%
0.9375 4
 
< 0.1%

FLOORSMIN_AVG
Real number (ℝ)

Distinct305
Distinct (%)0.3%
Missing208642
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean0.2318935005
Minimum0
Maximum1
Zeros2320
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:11:58.575040image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.0833
median0.2083
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2917

Descriptive statistics

Standard deviation0.1613802888
Coefficient of variation (CV)0.6959241568
Kurtosis1.338255817
Mean0.2318935005
Median Absolute Deviation (MAD)0.1529
Skewness0.9541972815
Sum22927.0785
Variance0.02604359761
MonotonicityNot monotonic
2023-02-02T09:12:01.584043image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2083 32875
 
10.7%
0.375 17845
 
5.8%
0.0417 17776
 
5.8%
0.0833 5086
 
1.7%
0.4167 3961
 
1.3%
0.1667 3537
 
1.2%
0.125 3336
 
1.1%
0 2320
 
0.8%
0.5 1688
 
0.5%
0.6667 1194
 
0.4%
Other values (295) 9251
 
3.0%
(Missing) 208642
67.8%
ValueCountFrequency (%)
0 2320
0.8%
0.0067 3
 
< 0.1%
0.0104 3
 
< 0.1%
0.0138 1
 
< 0.1%
0.0158 4
 
< 0.1%
ValueCountFrequency (%)
1 141
< 0.1%
0.9792 5
 
< 0.1%
0.9583 10
 
< 0.1%
0.9408 2
 
< 0.1%
0.9304 1
 
< 0.1%

LANDAREA_AVG
Real number (ℝ)

MISSING  ZEROS 

Distinct3527
Distinct (%)2.8%
Missing182590
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean0.06633318417
Minimum0
Maximum1
Zeros15600
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:03.303034image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0187
median0.0481
Q30.0856
95-th percentile0.1947
Maximum1
Range1
Interquartile range (IQR)0.0669

Descriptive statistics

Standard deviation0.0811836407
Coefficient of variation (CV)1.223876733
Kurtosis34.74479054
Mean0.06633318417
Median Absolute Deviation (MAD)0.0322
Skewness4.458676641
Sum8286.4077
Variance0.006590783518
MonotonicityNot monotonic
2023-02-02T09:12:04.285034image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15600
 
5.1%
0.0631 189
 
0.1%
0.0316 187
 
0.1%
0.0473 186
 
0.1%
0.0174 180
 
0.1%
0.0237 175
 
0.1%
0.0552 173
 
0.1%
0.0158 170
 
0.1%
0.0331 170
 
0.1%
0.0189 165
 
0.1%
Other values (3517) 107726
35.0%
(Missing) 182590
59.4%
ValueCountFrequency (%)
0 15600
5.1%
0.0001 13
 
< 0.1%
0.0002 13
 
< 0.1%
0.0003 9
 
< 0.1%
0.0004 11
 
< 0.1%
ValueCountFrequency (%)
1 135
< 0.1%
0.9829 10
 
< 0.1%
0.9777 3
 
< 0.1%
0.969 1
 
< 0.1%
0.9497 1
 
< 0.1%

LIVINGAPARTMENTS_AVG
Real number (ℝ)

Distinct1868
Distinct (%)1.9%
Missing210199
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.100774775
Minimum0
Maximum1
Zeros418
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:05.173025image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0101
Q10.0504
median0.0756
Q30.121
95-th percentile0.2723
Maximum1
Range1
Interquartile range (IQR)0.0706

Descriptive statistics

Standard deviation0.09257613396
Coefficient of variation (CV)0.9186439167
Kurtosis16.49063
Mean0.100774775
Median Absolute Deviation (MAD)0.0328
Skewness3.042198061
Sum9806.5949
Variance0.008570340579
MonotonicityNot monotonic
2023-02-02T09:12:05.542040image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0504 4272
 
1.4%
0.0672 4231
 
1.4%
0.0756 2778
 
0.9%
0.0588 2586
 
0.8%
0.0841 1864
 
0.6%
0.121 1793
 
0.6%
0.0067 1695
 
0.6%
0.0605 1492
 
0.5%
0.1009 1456
 
0.5%
0.0134 1447
 
0.5%
Other values (1858) 73698
 
24.0%
(Missing) 210199
68.4%
ValueCountFrequency (%)
0 418
0.1%
0.0008 117
 
< 0.1%
0.0013 1
 
< 0.1%
0.0017 250
0.1%
0.0021 2
 
< 0.1%
ValueCountFrequency (%)
1 92
< 0.1%
0.9994 3
 
< 0.1%
0.9901 3
 
< 0.1%
0.9641 2
 
< 0.1%
0.949 4
 
< 0.1%

LIVINGAREA_AVG
Real number (ℝ)

Distinct5199
Distinct (%)3.4%
Missing154350
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.1073990193
Minimum0
Maximum1
Zeros284
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:06.459032image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0082
Q10.0453
median0.0745
Q30.1299
95-th percentile0.3205
Maximum1
Range1
Interquartile range (IQR)0.0846

Descriptive statistics

Standard deviation0.1105645232
Coefficient of variation (CV)1.029474234
Kurtosis12.3311742
Mean0.1073990193
Median Absolute Deviation (MAD)0.0389
Skewness2.854736446
Sum16449.3412
Variance0.01222451379
MonotonicityNot monotonic
2023-02-02T09:12:06.998030image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 284
 
0.1%
0.0512 243
 
0.1%
0.0702 223
 
0.1%
0.051 223
 
0.1%
0.0509 221
 
0.1%
0.0538 220
 
0.1%
0.0638 215
 
0.1%
0.0513 210
 
0.1%
0.0511 209
 
0.1%
0.0626 205
 
0.1%
Other values (5189) 150908
49.1%
(Missing) 154350
50.2%
ValueCountFrequency (%)
0 284
0.1%
0.0001 4
 
< 0.1%
0.0002 8
 
< 0.1%
0.0003 10
 
< 0.1%
0.0004 14
 
< 0.1%
ValueCountFrequency (%)
1 150
< 0.1%
0.9984 1
 
< 0.1%
0.9978 1
 
< 0.1%
0.9893 1
 
< 0.1%
0.986 1
 
< 0.1%

NONLIVINGAPARTMENTS_AVG
Real number (ℝ)

MISSING  ZEROS 

Distinct386
Distinct (%)0.4%
Missing213514
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.008808672617
Minimum0
Maximum1
Zeros54549
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:07.393079image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0039
95-th percentile0.0309
Maximum1
Range1
Interquartile range (IQR)0.0039

Descriptive statistics

Standard deviation0.04773166205
Coefficient of variation (CV)5.418712231
Kurtosis284.7303365
Mean0.008808672617
Median Absolute Deviation (MAD)0
Skewness15.54118548
Sum827.9888
Variance0.002278311562
MonotonicityNot monotonic
2023-02-02T09:12:08.729545image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54549
 
17.7%
0.0039 13606
 
4.4%
0.0077 6351
 
2.1%
0.0116 3714
 
1.2%
0.0154 2533
 
0.8%
0.0193 1673
 
0.5%
0.0019 1250
 
0.4%
0.0232 1195
 
0.4%
0.027 865
 
0.3%
0.0309 717
 
0.2%
Other values (376) 7544
 
2.5%
(Missing) 213514
69.4%
ValueCountFrequency (%)
0 54549
17.7%
0.0002 1
 
< 0.1%
0.0003 5
 
< 0.1%
0.0004 25
 
< 0.1%
0.0005 6
 
< 0.1%
ValueCountFrequency (%)
1 97
< 0.1%
0.9961 2
 
< 0.1%
0.9923 4
 
< 0.1%
0.9884 1
 
< 0.1%
0.973 3
 
< 0.1%

NONLIVINGAREA_AVG
Real number (ℝ)

MISSING  ZEROS 

Distinct3290
Distinct (%)2.4%
Missing169682
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean0.02835775708
Minimum0
Maximum1
Zeros58735
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:09.638560image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0036
Q30.0277
95-th percentile0.1279
Maximum1
Range1
Interquartile range (IQR)0.0277

Descriptive statistics

Standard deviation0.06952318332
Coefficient of variation (CV)2.451646057
Kurtosis64.91241641
Mean0.02835775708
Median Absolute Deviation (MAD)0.0036
Skewness6.559011647
Sum3908.5213
Variance0.004833473019
MonotonicityNot monotonic
2023-02-02T09:12:10.480559image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58735
 
19.1%
0.0012 546
 
0.2%
0.0044 454
 
0.1%
0.0022 440
 
0.1%
0.0031 415
 
0.1%
0.001 405
 
0.1%
0.0011 405
 
0.1%
0.0036 399
 
0.1%
0.003 397
 
0.1%
0.0024 395
 
0.1%
Other values (3280) 75238
24.5%
(Missing) 169682
55.2%
ValueCountFrequency (%)
0 58735
19.1%
0.0001 163
 
0.1%
0.0002 107
 
< 0.1%
0.0003 95
 
< 0.1%
0.0004 162
 
0.1%
ValueCountFrequency (%)
1 136
< 0.1%
0.9956 1
 
< 0.1%
0.9823 1
 
< 0.1%
0.9764 1
 
< 0.1%
0.9591 2
 
< 0.1%

APARTMENTS_MODE
Real number (ℝ)

Distinct760
Distinct (%)0.5%
Missing156061
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean0.1142310069
Minimum0
Maximum1
Zeros976
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:11.435548image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0084
Q10.0525
median0.084
Q30.1439
95-th percentile0.3193
Maximum1
Range1
Interquartile range (IQR)0.0914

Descriptive statistics

Standard deviation0.1079360391
Coefficient of variation (CV)0.9448926521
Kurtosis11.74605563
Mean0.1142310069
Median Absolute Deviation (MAD)0.0421
Skewness2.703051654
Sum17300.286
Variance0.01165018853
MonotonicityNot monotonic
2023-02-02T09:12:12.287561image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.084 7522
 
2.4%
0.063 7451
 
2.4%
0.0945 4757
 
1.5%
0.0735 4388
 
1.4%
0.0084 3970
 
1.3%
0.0168 3324
 
1.1%
0.105 3116
 
1.0%
0.1513 3039
 
1.0%
0.0126 3034
 
1.0%
0.0756 2973
 
1.0%
Other values (750) 107876
35.1%
(Missing) 156061
50.7%
ValueCountFrequency (%)
0 976
0.3%
0.0011 285
 
0.1%
0.0021 1006
0.3%
0.0032 431
0.1%
0.0042 1069
0.3%
ValueCountFrequency (%)
1 150
< 0.1%
0.9989 1
 
< 0.1%
0.9947 1
 
< 0.1%
0.9884 1
 
< 0.1%
0.9853 1
 
< 0.1%

BASEMENTAREA_MODE
Real number (ℝ)

MISSING  ZEROS 

Distinct3841
Distinct (%)3.0%
Missing179943
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.08754321225
Minimum0
Maximum1
Zeros16598
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:13.117548image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0407
median0.0746
Q30.1124
95-th percentile0.2277
Maximum1
Range1
Interquartile range (IQR)0.0717

Descriptive statistics

Standard deviation0.08430717487
Coefficient of variation (CV)0.963034971
Kurtosis24.43118634
Mean0.08754321225
Median Absolute Deviation (MAD)0.0358
Skewness3.481532853
Sum11167.7125
Variance0.007107699734
MonotonicityNot monotonic
2023-02-02T09:12:13.978588image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16598
 
5.4%
0.0566 269
 
0.1%
0.0849 265
 
0.1%
0.0642 253
 
0.1%
0.083 251
 
0.1%
0.1132 243
 
0.1%
0.0792 241
 
0.1%
0.0826 238
 
0.1%
0.0679 222
 
0.1%
0.0755 215
 
0.1%
Other values (3831) 108773
35.4%
(Missing) 179943
58.5%
ValueCountFrequency (%)
0 16598
5.4%
0.0001 105
 
< 0.1%
0.0002 41
 
< 0.1%
0.0003 10
 
< 0.1%
0.0004 33
 
< 0.1%
ValueCountFrequency (%)
1 133
< 0.1%
0.991 2
 
< 0.1%
0.9842 2
 
< 0.1%
0.9787 4
 
< 0.1%
0.9578 1
 
< 0.1%
Distinct221
Distinct (%)0.1%
Missing150007
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean0.9770653729
Minimum0
Maximum1
Zeros142
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:14.829561image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9682
Q10.9767
median0.9816
Q30.9866
95-th percentile0.996
Maximum1
Range1
Interquartile range (IQR)0.0099

Descriptive statistics

Standard deviation0.06457543708
Coefficient of variation (CV)0.06609121444
Kurtosis219.9627658
Mean0.9770653729
Median Absolute Deviation (MAD)0.005
Skewness-14.75531784
Sum153891.7045
Variance0.004169987074
MonotonicityNot monotonic
2023-02-02T09:12:15.635559image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9871 4291
 
1.4%
0.9866 4173
 
1.4%
0.9861 4167
 
1.4%
0.9801 4110
 
1.3%
0.9806 4083
 
1.3%
0.9856 4075
 
1.3%
0.9851 4016
 
1.3%
0.9816 3976
 
1.3%
0.9796 3974
 
1.3%
0.9791 3935
 
1.3%
Other values (211) 116704
38.0%
(Missing) 150007
48.8%
ValueCountFrequency (%)
0 142
 
< 0.1%
0.0005 525
0.2%
0.0184 1
 
< 0.1%
0.0452 1
 
< 0.1%
0.0973 1
 
< 0.1%
ValueCountFrequency (%)
1 211
 
0.1%
0.9995 702
0.2%
0.999 915
0.3%
0.9985 1053
0.3%
0.998 1065
0.3%

YEARS_BUILD_MODE
Real number (ℝ)

Distinct154
Distinct (%)0.1%
Missing204488
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean0.7596373227
Minimum0
Maximum1
Zeros103
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:17.076545image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.608
Q10.6994
median0.7648
Q30.8236
95-th percentile0.9543
Maximum1
Range1
Interquartile range (IQR)0.1242

Descriptive statistics

Standard deviation0.1101110273
Coefficient of variation (CV)0.1449521029
Kurtosis4.764473709
Mean0.7596373227
Median Absolute Deviation (MAD)0.0653
Skewness-1.002304903
Sum78260.1159
Variance0.01212443834
MonotonicityNot monotonic
2023-02-02T09:12:17.879913image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8301 2960
 
1.0%
0.8236 2879
 
0.9%
0.7387 2789
 
0.9%
0.8171 2763
 
0.9%
0.8105 2755
 
0.9%
0.7452 2737
 
0.9%
0.8367 2711
 
0.9%
0.804 2707
 
0.9%
0.7583 2704
 
0.9%
0.7779 2689
 
0.9%
Other values (144) 75329
 
24.5%
(Missing) 204488
66.5%
ValueCountFrequency (%)
0 103
< 0.1%
0.0003 3
 
< 0.1%
0.0134 2
 
< 0.1%
0.0199 2
 
< 0.1%
0.0265 2
 
< 0.1%
ValueCountFrequency (%)
1 183
 
0.1%
0.9935 487
0.2%
0.9869 653
0.2%
0.9804 791
0.3%
0.9739 779
0.3%

COMMONAREA_MODE
Real number (ℝ)

MISSING  ZEROS 

Distinct3128
Distinct (%)3.4%
Missing214865
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean0.04255313775
Minimum0
Maximum1
Zeros9690
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:18.703778image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0072
median0.019
Q30.049
95-th percentile0.1532
Maximum1
Range1
Interquartile range (IQR)0.0418

Descriptive statistics

Standard deviation0.07444452254
Coefficient of variation (CV)1.749448489
Kurtosis48.86099191
Mean0.04255313775
Median Absolute Deviation (MAD)0.0164
Skewness5.620589225
Sum3942.378
Variance0.005541986936
MonotonicityNot monotonic
2023-02-02T09:12:19.515764image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9690
 
3.2%
0.008 546
 
0.2%
0.0079 543
 
0.2%
0.0078 518
 
0.2%
0.0081 416
 
0.1%
0.0087 397
 
0.1%
0.0014 394
 
0.1%
0.007 363
 
0.1%
0.0071 341
 
0.1%
0.0012 332
 
0.1%
Other values (3118) 79106
 
25.7%
(Missing) 214865
69.9%
ValueCountFrequency (%)
0 9690
3.2%
0.0001 60
 
< 0.1%
0.0002 52
 
< 0.1%
0.0003 68
 
< 0.1%
0.0004 63
 
< 0.1%
ValueCountFrequency (%)
1 89
< 0.1%
0.9997 2
 
< 0.1%
0.9923 1
 
< 0.1%
0.9689 1
 
< 0.1%
0.9639 1
 
< 0.1%

ELEVATORS_MODE
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing163891
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean0.07448973611
Minimum0
Maximum1
Zeros89498
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:20.281808image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1208
95-th percentile0.3222
Maximum1
Range1
Interquartile range (IQR)0.1208

Descriptive statistics

Standard deviation0.1322561442
Coefficient of variation (CV)1.775494868
Kurtosis8.597942866
Mean0.07448973611
Median Absolute Deviation (MAD)0
Skewness2.552281099
Sum10698.2159
Variance0.01749168767
MonotonicityNot monotonic
2023-02-02T09:12:20.940202image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 89498
29.1%
0.0806 11629
 
3.8%
0.1611 9675
 
3.1%
0.2417 6379
 
2.1%
0.1208 5734
 
1.9%
0.0403 4876
 
1.6%
0.2014 3962
 
1.3%
0.3222 2887
 
0.9%
0.282 2135
 
0.7%
0.4028 1554
 
0.5%
Other values (16) 5291
 
1.7%
(Missing) 163891
53.3%
ValueCountFrequency (%)
0 89498
29.1%
0.0403 4876
 
1.6%
0.0806 11629
 
3.8%
0.1208 5734
 
1.9%
0.1611 9675
 
3.1%
ValueCountFrequency (%)
1 144
< 0.1%
0.9667 87
< 0.1%
0.9264 20
 
< 0.1%
0.8862 66
< 0.1%
0.8459 34
 
< 0.1%

ENTRANCES_MODE
Real number (ℝ)

Distinct30
Distinct (%)< 0.1%
Missing154828
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.1451926586
Minimum0
Maximum1
Zeros387
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:21.637160image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.069
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1379

Descriptive statistics

Standard deviation0.1009769882
Coefficient of variation (CV)0.6954689659
Kurtosis11.42245778
Mean0.1451926586
Median Absolute Deviation (MAD)0.0689
Skewness2.392343316
Sum22168.4507
Variance0.01019635214
MonotonicityNot monotonic
2023-02-02T09:12:22.395163image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.1379 36041
 
11.7%
0.069 26704
 
8.7%
0.1034 20533
 
6.7%
0.2069 19678
 
6.4%
0.0345 19428
 
6.3%
0.1724 8986
 
2.9%
0.2759 8036
 
2.6%
0.2414 4013
 
1.3%
0.3448 2046
 
0.7%
0.3103 2014
 
0.7%
Other values (20) 5204
 
1.7%
(Missing) 154828
50.3%
ValueCountFrequency (%)
0 387
 
0.1%
0.0345 19428
6.3%
0.069 26704
8.7%
0.1034 20533
6.7%
0.1379 36041
11.7%
ValueCountFrequency (%)
1 152
< 0.1%
0.9655 25
 
< 0.1%
0.931 21
 
< 0.1%
0.8966 52
 
< 0.1%
0.8621 14
 
< 0.1%

FLOORSMAX_MODE
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing153020
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean0.2223150475
Minimum0
Maximum1
Zeros3415
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:23.174162image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.4583
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.1437094066
Coefficient of variation (CV)0.6464223103
Kurtosis2.535687486
Mean0.2223150475
Median Absolute Deviation (MAD)0.0834
Skewness1.2443425
Sum34345.674
Variance0.02065239354
MonotonicityNot monotonic
2023-02-02T09:12:23.857202image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.1667 65550
21.3%
0.3333 34373
 
11.2%
0.0417 15616
 
5.1%
0.375 8321
 
2.7%
0.125 7267
 
2.4%
0.0833 6785
 
2.2%
0 3415
 
1.1%
0.4583 3216
 
1.0%
0.625 2075
 
0.7%
0.5417 1836
 
0.6%
Other values (15) 6037
 
2.0%
(Missing) 153020
49.8%
ValueCountFrequency (%)
0 3415
 
1.1%
0.0417 15616
 
5.1%
0.0833 6785
 
2.2%
0.125 7267
 
2.4%
0.1667 65550
21.3%
ValueCountFrequency (%)
1 164
0.1%
0.9583 94
< 0.1%
0.9167 38
 
< 0.1%
0.875 229
0.1%
0.8333 22
 
< 0.1%

FLOORSMIN_MODE
Real number (ℝ)

Distinct25
Distinct (%)< 0.1%
Missing208642
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean0.2280584926
Minimum0
Maximum1
Zeros2517
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:24.549972image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.0833
median0.2083
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2917

Descriptive statistics

Standard deviation0.1611597715
Coefficient of variation (CV)0.7066598121
Kurtosis1.35372559
Mean0.2280584926
Median Absolute Deviation (MAD)0.1666
Skewness0.963834755
Sum22547.9151
Variance0.02597247195
MonotonicityNot monotonic
2023-02-02T09:12:25.219974image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.2083 34403
 
11.2%
0.375 19042
 
6.2%
0.0417 18917
 
6.2%
0.0833 5349
 
1.7%
0.4167 4105
 
1.3%
0.1667 3636
 
1.2%
0.125 3170
 
1.0%
0 2517
 
0.8%
0.5 1889
 
0.6%
0.6667 1264
 
0.4%
Other values (15) 4577
 
1.5%
(Missing) 208642
67.8%
ValueCountFrequency (%)
0 2517
 
0.8%
0.0417 18917
6.2%
0.0833 5349
 
1.7%
0.125 3170
 
1.0%
0.1667 3636
 
1.2%
ValueCountFrequency (%)
1 141
< 0.1%
0.9583 17
 
< 0.1%
0.9167 131
< 0.1%
0.875 9
 
< 0.1%
0.8333 22
 
< 0.1%

LANDAREA_MODE
Real number (ℝ)

MISSING  ZEROS 

Distinct3563
Distinct (%)2.9%
Missing182590
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean0.06495768446
Minimum0
Maximum1
Zeros17453
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:26.046004image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0166
median0.0458
Q30.0841
95-th percentile0.1956
Maximum1
Range1
Interquartile range (IQR)0.0675

Descriptive statistics

Standard deviation0.08175027781
Coefficient of variation (CV)1.258515886
Kurtosis33.2732701
Mean0.06495768446
Median Absolute Deviation (MAD)0.032
Skewness4.37702655
Sum8114.5789
Variance0.006683107922
MonotonicityNot monotonic
2023-02-02T09:12:26.867966image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17453
 
5.7%
0.0194 208
 
0.1%
0.0645 193
 
0.1%
0.0484 192
 
0.1%
0.0323 188
 
0.1%
0.0147 178
 
0.1%
0.0111 175
 
0.1%
0.0144 175
 
0.1%
0.0258 173
 
0.1%
0.0242 172
 
0.1%
Other values (3553) 105814
34.4%
(Missing) 182590
59.4%
ValueCountFrequency (%)
0 17453
5.7%
0.0001 24
 
< 0.1%
0.0002 14
 
< 0.1%
0.0003 6
 
< 0.1%
0.0004 14
 
< 0.1%
ValueCountFrequency (%)
1 129
< 0.1%
0.9911 1
 
< 0.1%
0.9714 1
 
< 0.1%
0.9665 2
 
< 0.1%
0.9587 3
 
< 0.1%

LIVINGAPARTMENTS_MODE
Real number (ℝ)

Distinct736
Distinct (%)0.8%
Missing210199
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.1056448567
Minimum0
Maximum1
Zeros519
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:27.764958image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.011
Q10.0542
median0.0771
Q30.1313
95-th percentile0.2948
Maximum1
Range1
Interquartile range (IQR)0.0771

Descriptive statistics

Standard deviation0.09788044658
Coefficient of variation (CV)0.9265046079
Kurtosis14.22499394
Mean0.1056448567
Median Absolute Deviation (MAD)0.0339
Skewness2.902671829
Sum10280.5123
Variance0.009580581822
MonotonicityNot monotonic
2023-02-02T09:12:28.807748image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0551 4931
 
1.6%
0.0735 4797
 
1.6%
0.0826 2966
 
1.0%
0.0643 2853
 
0.9%
0.0918 2069
 
0.7%
0.1322 1972
 
0.6%
0.0661 1930
 
0.6%
0.0073 1883
 
0.6%
0.0147 1585
 
0.5%
0.0588 1519
 
0.5%
Other values (726) 70807
 
23.0%
(Missing) 210199
68.4%
ValueCountFrequency (%)
0 519
0.2%
0.0009 156
 
0.1%
0.0018 295
0.1%
0.0028 146
 
< 0.1%
0.0037 413
0.1%
ValueCountFrequency (%)
1 94
< 0.1%
0.9826 1
 
< 0.1%
0.9816 2
 
< 0.1%
0.978 1
 
< 0.1%
0.9761 1
 
< 0.1%

LIVINGAREA_MODE
Real number (ℝ)

Distinct5301
Distinct (%)3.5%
Missing154350
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.1059750504
Minimum0
Maximum1
Zeros444
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:29.689728image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0079
Q10.0427
median0.0731
Q30.1252
95-th percentile0.323
Maximum1
Range1
Interquartile range (IQR)0.0825

Descriptive statistics

Standard deviation0.1118452659
Coefficient of variation (CV)1.055392429
Kurtosis12.45906186
Mean0.1059750504
Median Absolute Deviation (MAD)0.0391
Skewness2.902491127
Sum16231.2447
Variance0.0125093635
MonotonicityNot monotonic
2023-02-02T09:12:30.496415image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 444
 
0.1%
0.053 272
 
0.1%
0.0532 262
 
0.1%
0.0529 249
 
0.1%
0.0533 242
 
0.1%
0.0561 224
 
0.1%
0.0656 224
 
0.1%
0.0734 223
 
0.1%
0.0536 222
 
0.1%
0.0525 220
 
0.1%
Other values (5291) 150579
49.0%
(Missing) 154350
50.2%
ValueCountFrequency (%)
0 444
0.1%
0.0001 7
 
< 0.1%
0.0002 7
 
< 0.1%
0.0003 16
 
< 0.1%
0.0004 24
 
< 0.1%
ValueCountFrequency (%)
1 150
< 0.1%
0.995 3
 
< 0.1%
0.9922 13
 
< 0.1%
0.9886 2
 
< 0.1%
0.9868 1
 
< 0.1%

NONLIVINGAPARTMENTS_MODE
Real number (ℝ)

MISSING  ZEROS 

Distinct167
Distinct (%)0.2%
Missing213514
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.008076387544
Minimum0
Maximum1
Zeros59255
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:31.339411image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0039
95-th percentile0.0272
Maximum1
Range1
Interquartile range (IQR)0.0039

Descriptive statistics

Standard deviation0.04627626622
Coefficient of variation (CV)5.729822395
Kurtosis309.7269475
Mean0.008076387544
Median Absolute Deviation (MAD)0
Skewness16.25181924
Sum759.1562
Variance0.002141492815
MonotonicityNot monotonic
2023-02-02T09:12:32.162414image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59255
 
19.3%
0.0039 14105
 
4.6%
0.0078 6413
 
2.1%
0.0117 3675
 
1.2%
0.0156 2492
 
0.8%
0.0195 1653
 
0.5%
0.0233 1177
 
0.4%
0.0272 840
 
0.3%
0.0311 711
 
0.2%
0.035 527
 
0.2%
Other values (157) 3149
 
1.0%
(Missing) 213514
69.4%
ValueCountFrequency (%)
0 59255
19.3%
0.0039 14105
 
4.6%
0.0078 6413
 
2.1%
0.0117 3675
 
1.2%
0.0156 2492
 
0.8%
ValueCountFrequency (%)
1 100
< 0.1%
0.9961 1
 
< 0.1%
0.9805 3
 
< 0.1%
0.965 2
 
< 0.1%
0.9533 2
 
< 0.1%

NONLIVINGAREA_MODE
Real number (ℝ)

MISSING  ZEROS 

Distinct3327
Distinct (%)2.4%
Missing169682
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean0.02702231969
Minimum0
Maximum1
Zeros67126
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:33.031214image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0011
Q30.0231
95-th percentile0.1294
Maximum1
Range1
Interquartile range (IQR)0.0231

Descriptive statistics

Standard deviation0.07025385904
Coefficient of variation (CV)2.599845604
Kurtosis63.35707261
Mean0.02702231969
Median Absolute Deviation (MAD)0.0011
Skewness6.522450899
Sum3724.4593
Variance0.004935604711
MonotonicityNot monotonic
2023-02-02T09:12:33.895184image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67126
 
21.8%
0.0011 477
 
0.2%
0.0046 466
 
0.2%
0.0033 430
 
0.1%
0.0012 427
 
0.1%
0.0023 426
 
0.1%
0.0013 410
 
0.1%
0.003 370
 
0.1%
0.0055 363
 
0.1%
0.0037 357
 
0.1%
Other values (3317) 66977
 
21.8%
(Missing) 169682
55.2%
ValueCountFrequency (%)
0 67126
21.8%
0.0001 123
 
< 0.1%
0.0002 125
 
< 0.1%
0.0003 61
 
< 0.1%
0.0004 90
 
< 0.1%
ValueCountFrequency (%)
1 135
< 0.1%
0.9878 1
 
< 0.1%
0.9852 1
 
< 0.1%
0.984 5
 
< 0.1%
0.9752 1
 
< 0.1%

APARTMENTS_MEDI
Real number (ℝ)

Distinct1148
Distinct (%)0.8%
Missing156061
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean0.1178499208
Minimum0
Maximum1
Zeros771
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:34.713213image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0083
Q10.0583
median0.0864
Q30.1489
95-th percentile0.33
Maximum1
Range1
Interquartile range (IQR)0.0906

Descriptive statistics

Standard deviation0.109075906
Coefficient of variation (CV)0.9255492519
Kurtosis11.24218957
Mean0.1178499208
Median Absolute Deviation (MAD)0.0437
Skewness2.639255507
Sum17848.3705
Variance0.01189755327
MonotonicityNot monotonic
2023-02-02T09:12:35.616212image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0833 7109
 
2.3%
0.0625 6687
 
2.2%
0.0937 4622
 
1.5%
0.0729 4211
 
1.4%
0.0083 3562
 
1.2%
0.0167 3098
 
1.0%
0.1041 3097
 
1.0%
0.1499 2992
 
1.0%
0.0125 2801
 
0.9%
0.0749 2559
 
0.8%
Other values (1138) 110712
36.0%
(Missing) 156061
50.7%
ValueCountFrequency (%)
0 771
0.3%
0.001 199
 
0.1%
0.0016 6
 
< 0.1%
0.0021 808
0.3%
0.0026 13
 
< 0.1%
ValueCountFrequency (%)
1 142
< 0.1%
0.9993 1
 
< 0.1%
0.9972 7
 
< 0.1%
0.991 9
 
< 0.1%
0.9899 1
 
< 0.1%

BASEMENTAREA_MEDI
Real number (ℝ)

MISSING  ZEROS 

Distinct3772
Distinct (%)3.0%
Missing179943
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.08795485467
Minimum0
Maximum1
Zeros14991
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:36.618212image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0437
median0.0758
Q30.1116
95-th percentile0.2231
Maximum1
Range1
Interquartile range (IQR)0.0679

Descriptive statistics

Standard deviation0.08217874951
Coefficient of variation (CV)0.9343287511
Kurtosis25.82976083
Mean0.08795485467
Median Absolute Deviation (MAD)0.034
Skewness3.553039527
Sum11220.2249
Variance0.006753346872
MonotonicityNot monotonic
2023-02-02T09:12:37.660172image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14991
 
4.9%
0.0818 271
 
0.1%
0.1091 266
 
0.1%
0.0545 265
 
0.1%
0.0727 248
 
0.1%
0.0796 246
 
0.1%
0.08 240
 
0.1%
0.0805 234
 
0.1%
0.0655 221
 
0.1%
0.0797 209
 
0.1%
Other values (3762) 110377
35.9%
(Missing) 179943
58.5%
ValueCountFrequency (%)
0 14991
4.9%
0.0001 106
 
< 0.1%
0.0002 39
 
< 0.1%
0.0003 8
 
< 0.1%
0.0004 31
 
< 0.1%
ValueCountFrequency (%)
1 130
< 0.1%
0.9945 1
 
< 0.1%
0.9694 2
 
< 0.1%
0.9682 1
 
< 0.1%
0.9677 1
 
< 0.1%
Distinct245
Distinct (%)0.2%
Missing150007
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean0.9777522641
Minimum0
Maximum1
Zeros548
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:38.513193image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9687
Q10.9767
median0.9816
Q30.9866
95-th percentile0.996
Maximum1
Range1
Interquartile range (IQR)0.0099

Descriptive statistics

Standard deviation0.05989731851
Coefficient of variation (CV)0.0612602197
Kurtosis248.396522
Mean0.9777522641
Median Absolute Deviation (MAD)0.005
Skewness-15.57312427
Sum153999.8926
Variance0.003587688764
MonotonicityNot monotonic
2023-02-02T09:12:39.334212image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9871 4314
 
1.4%
0.9861 4247
 
1.4%
0.9856 4199
 
1.4%
0.9866 4138
 
1.3%
0.9801 4115
 
1.3%
0.9806 4069
 
1.3%
0.9851 4032
 
1.3%
0.9796 3963
 
1.3%
0.9876 3948
 
1.3%
0.9816 3930
 
1.3%
Other values (235) 116549
37.9%
(Missing) 150007
48.8%
ValueCountFrequency (%)
0 548
0.2%
0.0179 1
 
< 0.1%
0.0447 1
 
< 0.1%
0.0969 1
 
< 0.1%
0.0974 1
 
< 0.1%
ValueCountFrequency (%)
1 206
 
0.1%
0.9995 717
0.2%
0.999 926
0.3%
0.9985 1073
0.3%
0.998 1114
0.4%

YEARS_BUILD_MEDI
Real number (ℝ)

Distinct151
Distinct (%)0.1%
Missing204488
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean0.7557462722
Minimum0
Maximum1
Zeros101
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:40.183857image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5975
Q10.6914
median0.7585
Q30.8256
95-th percentile0.953
Maximum1
Range1
Interquartile range (IQR)0.1342

Descriptive statistics

Standard deviation0.1120663096
Coefficient of variation (CV)0.1482856268
Kurtosis4.468810703
Mean0.7557462722
Median Absolute Deviation (MAD)0.0671
Skewness-0.9627843225
Sum77859.2482
Variance0.01255885776
MonotonicityNot monotonic
2023-02-02T09:12:40.989899image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8256 2994
 
1.0%
0.8189 2883
 
0.9%
0.8054 2842
 
0.9%
0.7316 2799
 
0.9%
0.8121 2784
 
0.9%
0.8323 2740
 
0.9%
0.7383 2739
 
0.9%
0.7987 2700
 
0.9%
0.7518 2687
 
0.9%
0.7719 2686
 
0.9%
Other values (141) 75169
 
24.4%
(Missing) 204488
66.5%
ValueCountFrequency (%)
0 101
< 0.1%
0.0003 2
 
< 0.1%
0.0071 1
 
< 0.1%
0.0138 2
 
< 0.1%
0.0205 3
 
< 0.1%
ValueCountFrequency (%)
1 182
 
0.1%
0.9933 494
0.2%
0.9866 665
0.2%
0.9799 802
0.3%
0.9732 819
0.3%

COMMONAREA_MEDI
Real number (ℝ)

MISSING  ZEROS 

Distinct3202
Distinct (%)3.5%
Missing214865
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean0.04459510179
Minimum0
Maximum1
Zeros8691
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:41.837871image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0079
median0.0208
Q30.0513
95-th percentile0.1609
Maximum1
Range1
Interquartile range (IQR)0.0434

Descriptive statistics

Standard deviation0.07614426224
Coefficient of variation (CV)1.707457976
Kurtosis45.26358612
Mean0.04459510179
Median Absolute Deviation (MAD)0.0172
Skewness5.419238452
Sum4131.5578
Variance0.005797948672
MonotonicityNot monotonic
2023-02-02T09:12:42.655863image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8691
 
2.8%
0.0079 581
 
0.2%
0.008 486
 
0.2%
0.0078 481
 
0.2%
0.0014 377
 
0.1%
0.0086 376
 
0.1%
0.0081 337
 
0.1%
0.0071 336
 
0.1%
0.0087 309
 
0.1%
0.0012 308
 
0.1%
Other values (3192) 80364
 
26.1%
(Missing) 214865
69.9%
ValueCountFrequency (%)
0 8691
2.8%
0.0001 57
 
< 0.1%
0.0002 49
 
< 0.1%
0.0003 73
 
< 0.1%
0.0004 63
 
< 0.1%
ValueCountFrequency (%)
1 90
< 0.1%
0.9969 2
 
< 0.1%
0.9896 1
 
< 0.1%
0.9662 1
 
< 0.1%
0.9613 1
 
< 0.1%

ELEVATORS_MEDI
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)< 0.1%
Missing163891
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean0.07807784431
Minimum0
Maximum1
Zeros87026
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:43.465807image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.12
95-th percentile0.36
Maximum1
Range1
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.1344671477
Coefficient of variation (CV)1.722219009
Kurtosis7.963978005
Mean0.07807784431
Median Absolute Deviation (MAD)0
Skewness2.457824084
Sum11213.54
Variance0.01808141381
MonotonicityNot monotonic
2023-02-02T09:12:44.292807image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 87026
28.3%
0.08 10832
 
3.5%
0.16 9278
 
3.0%
0.24 6392
 
2.1%
0.12 5946
 
1.9%
0.04 4852
 
1.6%
0.2 4162
 
1.4%
0.32 2937
 
1.0%
0.28 2317
 
0.8%
0.4 1604
 
0.5%
Other values (36) 8274
 
2.7%
(Missing) 163891
53.3%
ValueCountFrequency (%)
0 87026
28.3%
0.02 368
 
0.1%
0.04 4852
 
1.6%
0.06 388
 
0.1%
0.08 10832
 
3.5%
ValueCountFrequency (%)
1 158
0.1%
0.96 81
< 0.1%
0.92 20
 
< 0.1%
0.9 6
 
< 0.1%
0.88 68
< 0.1%

ENTRANCES_MEDI
Real number (ℝ)

Distinct46
Distinct (%)< 0.1%
Missing154828
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.1492127807
Minimum0
Maximum1
Zeros329
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:45.687806image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.069
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1379

Descriptive statistics

Standard deviation0.1003683945
Coefficient of variation (CV)0.6726527983
Kurtosis11.47406674
Mean0.1492127807
Median Absolute Deviation (MAD)0.0689
Skewness2.387710998
Sum22782.255
Variance0.01007381461
MonotonicityNot monotonic
2023-02-02T09:12:46.525647image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.1379 35535
 
11.6%
0.069 24193
 
7.9%
0.1034 20492
 
6.7%
0.2069 19750
 
6.4%
0.0345 16150
 
5.3%
0.1724 9566
 
3.1%
0.2759 8048
 
2.6%
0.2414 4318
 
1.4%
0.3448 2108
 
0.7%
0.3103 2086
 
0.7%
Other values (36) 10437
 
3.4%
(Missing) 154828
50.3%
ValueCountFrequency (%)
0 329
 
0.1%
0.0172 7
 
< 0.1%
0.0345 16150
5.3%
0.0517 611
 
0.2%
0.069 24193
7.9%
ValueCountFrequency (%)
1 153
< 0.1%
0.9655 25
 
< 0.1%
0.931 21
 
< 0.1%
0.8966 52
 
< 0.1%
0.8621 14
 
< 0.1%

FLOORSMAX_MEDI
Real number (ℝ)

Distinct49
Distinct (%)< 0.1%
Missing153020
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean0.2258965901
Minimum0
Maximum1
Zeros2995
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:47.412827image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.4792
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.1450670259
Coefficient of variation (CV)0.6421833365
Kurtosis2.468554651
Mean0.2258965901
Median Absolute Deviation (MAD)0.0834
Skewness1.240185498
Sum34898.9901
Variance0.02104444201
MonotonicityNot monotonic
2023-02-02T09:12:48.265831image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.1667 63607
20.7%
0.3333 33279
 
10.8%
0.0417 14832
 
4.8%
0.375 8207
 
2.7%
0.125 7079
 
2.3%
0.0833 6657
 
2.2%
0.4583 3089
 
1.0%
0 2995
 
1.0%
0.625 2042
 
0.7%
0.5417 1860
 
0.6%
Other values (39) 10844
 
3.5%
(Missing) 153020
49.8%
ValueCountFrequency (%)
0 2995
 
1.0%
0.0208 126
 
< 0.1%
0.0417 14832
4.8%
0.0625 132
 
< 0.1%
0.0833 6657
2.2%
ValueCountFrequency (%)
1 170
0.1%
0.9792 1
 
< 0.1%
0.9583 95
< 0.1%
0.9375 4
 
< 0.1%
0.9167 37
 
< 0.1%

FLOORSMIN_MEDI
Real number (ℝ)

Distinct47
Distinct (%)< 0.1%
Missing208642
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean0.231624938
Minimum0
Maximum1
Zeros2351
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:49.534778image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.0833
median0.2083
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2917

Descriptive statistics

Standard deviation0.1619335415
Coefficient of variation (CV)0.699119632
Kurtosis1.346573933
Mean0.231624938
Median Absolute Deviation (MAD)0.1666
Skewness0.960226455
Sum22900.526
Variance0.02622247185
MonotonicityNot monotonic
2023-02-02T09:12:51.298691image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.2083 33737
 
11.0%
0.375 18538
 
6.0%
0.0417 18090
 
5.9%
0.0833 5131
 
1.7%
0.4167 4068
 
1.3%
0.1667 3570
 
1.2%
0.125 3373
 
1.1%
0 2351
 
0.8%
0.5 1835
 
0.6%
0.6667 1261
 
0.4%
Other values (37) 6915
 
2.2%
(Missing) 208642
67.8%
ValueCountFrequency (%)
0 2351
 
0.8%
0.0208 50
 
< 0.1%
0.0417 18090
5.9%
0.0625 51
 
< 0.1%
0.0833 5131
 
1.7%
ValueCountFrequency (%)
1 147
< 0.1%
0.9792 5
 
< 0.1%
0.9583 14
 
< 0.1%
0.9167 130
< 0.1%
0.875 16
 
< 0.1%

LANDAREA_MEDI
Real number (ℝ)

MISSING  ZEROS 

Distinct3560
Distinct (%)2.8%
Missing182590
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean0.06716874905
Minimum0
Maximum1
Zeros15919
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:53.344706image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0187
median0.0487
Q30.0868
95-th percentile0.1976
Maximum1
Range1
Interquartile range (IQR)0.0681

Descriptive statistics

Standard deviation0.08216701028
Coefficient of variation (CV)1.223292252
Kurtosis33.23797701
Mean0.06716874905
Median Absolute Deviation (MAD)0.0327
Skewness4.368292319
Sum8390.7873
Variance0.006751417578
MonotonicityNot monotonic
2023-02-02T09:12:54.592704image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15919
 
5.2%
0.0193 197
 
0.1%
0.0642 194
 
0.1%
0.0482 186
 
0.1%
0.0143 180
 
0.1%
0.0161 180
 
0.1%
0.0803 179
 
0.1%
0.0241 177
 
0.1%
0.0321 176
 
0.1%
0.0178 175
 
0.1%
Other values (3550) 107358
34.9%
(Missing) 182590
59.4%
ValueCountFrequency (%)
0 15919
5.2%
0.0001 14
 
< 0.1%
0.0002 13
 
< 0.1%
0.0003 7
 
< 0.1%
0.0004 11
 
< 0.1%
ValueCountFrequency (%)
1 135
< 0.1%
0.9947 3
 
< 0.1%
0.9858 1
 
< 0.1%
0.9662 1
 
< 0.1%
0.9614 2
 
< 0.1%

LIVINGAPARTMENTS_MEDI
Real number (ℝ)

Distinct1097
Distinct (%)1.1%
Missing210199
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.1019544732
Minimum0
Maximum1
Zeros433
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:12:56.469694image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0103
Q10.0513
median0.0761
Q30.1231
95-th percentile0.277
Maximum1
Range1
Interquartile range (IQR)0.0718

Descriptive statistics

Standard deviation0.09364233271
Coefficient of variation (CV)0.9184720369
Kurtosis15.6970531
Mean0.1019544732
Median Absolute Deviation (MAD)0.0334
Skewness2.988291445
Sum9921.3937
Variance0.008768886476
MonotonicityNot monotonic
2023-02-02T09:12:58.445693image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0513 4500
 
1.5%
0.0684 4497
 
1.5%
0.077 2926
 
1.0%
0.0599 2708
 
0.9%
0.0855 2014
 
0.7%
0.1231 1921
 
0.6%
0.0068 1715
 
0.6%
0.0616 1691
 
0.5%
0.1026 1517
 
0.5%
0.0137 1487
 
0.5%
Other values (1087) 72336
 
23.5%
(Missing) 210199
68.4%
ValueCountFrequency (%)
0 433
0.1%
0.0009 117
 
< 0.1%
0.0013 1
 
< 0.1%
0.0017 254
0.1%
0.0021 2
 
< 0.1%
ValueCountFrequency (%)
1 91
< 0.1%
0.9808 2
 
< 0.1%
0.9654 4
 
< 0.1%
0.9509 5
 
< 0.1%
0.9312 5
 
< 0.1%

LIVINGAREA_MEDI
Real number (ℝ)

Distinct5281
Distinct (%)3.4%
Missing154350
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.108606736
Minimum0
Maximum1
Zeros299
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:00.484688image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0083
Q10.0457
median0.0749
Q30.1303
95-th percentile0.3255
Maximum1
Range1
Interquartile range (IQR)0.0846

Descriptive statistics

Standard deviation0.1122602587
Coefficient of variation (CV)1.033639927
Kurtosis12.13856123
Mean0.108606736
Median Absolute Deviation (MAD)0.0394
Skewness2.848935371
Sum16634.3163
Variance0.01260236568
MonotonicityNot monotonic
2023-02-02T09:13:01.589690image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 299
 
0.1%
0.0548 239
 
0.1%
0.0518 234
 
0.1%
0.052 233
 
0.1%
0.0521 232
 
0.1%
0.0522 225
 
0.1%
0.0519 217
 
0.1%
0.0513 217
 
0.1%
0.0717 212
 
0.1%
0.0888 212
 
0.1%
Other values (5271) 150841
49.1%
(Missing) 154350
50.2%
ValueCountFrequency (%)
0 299
0.1%
0.0001 4
 
< 0.1%
0.0002 8
 
< 0.1%
0.0003 10
 
< 0.1%
0.0004 14
 
< 0.1%
ValueCountFrequency (%)
1 149
< 0.1%
0.9988 1
 
< 0.1%
0.996 1
 
< 0.1%
0.9931 8
 
< 0.1%
0.9919 2
 
< 0.1%

NONLIVINGAPARTMENTS_MEDI
Real number (ℝ)

MISSING  ZEROS 

Distinct214
Distinct (%)0.2%
Missing213514
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.00865101333
Minimum0
Maximum1
Zeros56097
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:02.570691image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0039
95-th percentile0.0311
Maximum1
Range1
Interquartile range (IQR)0.0039

Descriptive statistics

Standard deviation0.04741472791
Coefficient of variation (CV)5.480829366
Kurtosis289.4924548
Mean0.00865101333
Median Absolute Deviation (MAD)0
Skewness15.67199516
Sum813.1693
Variance0.002248156423
MonotonicityNot monotonic
2023-02-02T09:13:03.362691image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56097
 
18.2%
0.0039 14126
 
4.6%
0.0078 6493
 
2.1%
0.0116 3788
 
1.2%
0.0155 2557
 
0.8%
0.0194 1696
 
0.6%
0.0019 1286
 
0.4%
0.0233 1202
 
0.4%
0.0272 864
 
0.3%
0.0311 731
 
0.2%
Other values (204) 5157
 
1.7%
(Missing) 213514
69.4%
ValueCountFrequency (%)
0 56097
18.2%
0.0019 1286
 
0.4%
0.0039 14126
 
4.6%
0.0058 515
 
0.2%
0.0078 6493
 
2.1%
ValueCountFrequency (%)
1 97
< 0.1%
0.9976 4
 
< 0.1%
0.9938 1
 
< 0.1%
0.9782 3
 
< 0.1%
0.9627 2
 
< 0.1%

NONLIVINGAREA_MEDI
Real number (ℝ)

MISSING  ZEROS 

Distinct3323
Distinct (%)2.4%
Missing169682
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean0.0282359206
Minimum0
Maximum1
Zeros60954
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:03.864685image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0031
Q30.0266
95-th percentile0.1295
Maximum1
Range1
Interquartile range (IQR)0.0266

Descriptive statistics

Standard deviation0.07016648151
Coefficient of variation (CV)2.48500775
Kurtosis63.65403519
Mean0.0282359206
Median Absolute Deviation (MAD)0.0031
Skewness6.508830983
Sum3891.7287
Variance0.004923335127
MonotonicityNot monotonic
2023-02-02T09:13:04.387694image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60954
 
19.8%
0.0012 539
 
0.2%
0.0022 478
 
0.2%
0.0037 456
 
0.1%
0.0044 431
 
0.1%
0.0011 421
 
0.1%
0.0043 415
 
0.1%
0.0031 407
 
0.1%
0.001 401
 
0.1%
0.0029 387
 
0.1%
Other values (3313) 72940
23.7%
(Missing) 169682
55.2%
ValueCountFrequency (%)
0 60954
19.8%
0.0001 154
 
0.1%
0.0002 81
 
< 0.1%
0.0003 86
 
< 0.1%
0.0004 147
 
< 0.1%
ValueCountFrequency (%)
1 134
< 0.1%
0.9969 1
 
< 0.1%
0.9792 2
 
< 0.1%
0.9789 1
 
< 0.1%
0.9759 5
 
< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing210295
Missing (%)68.4%
Memory size2.3 MiB
reg oper account
73830 
reg oper spec account
12080 
not specified
 
5687
org spec account
 
5619

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowreg oper account
2nd rowreg oper account
3rd rowreg oper account
4th rowreg oper account
5th rowreg oper account

Common Values

ValueCountFrequency (%)
reg oper account 73830
 
24.0%
reg oper spec account 12080
 
3.9%
not specified 5687
 
1.8%
org spec account 5619
 
1.8%
(Missing) 210295
68.4%

Common Values (Plot)

2023-02-02T09:13:05.598693image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

HOUSETYPE_MODE
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)< 0.1%
Missing154297
Missing (%)50.2%
Memory size2.3 MiB
block of flats
150503 
specific housing
 
1499
terraced house
 
1212

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowblock of flats
2nd rowblock of flats
3rd rowblock of flats
4th rowblock of flats
5th rowblock of flats

Common Values

ValueCountFrequency (%)
block of flats 150503
48.9%
specific housing 1499
 
0.5%
terraced house 1212
 
0.4%
(Missing) 154297
50.2%

Common Values (Plot)

2023-02-02T09:13:07.332693image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

TOTALAREA_MODE
Real number (ℝ)

Distinct5116
Distinct (%)3.2%
Missing148431
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean0.1025466627
Minimum0
Maximum1
Zeros582
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:09.095705image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0067
Q10.0412
median0.0688
Q30.1276
95-th percentile0.3092
Maximum1
Range1
Interquartile range (IQR)0.0864

Descriptive statistics

Standard deviation0.1074623241
Coefficient of variation (CV)1.04793585
Kurtosis12.16752998
Mean0.1025466627
Median Absolute Deviation (MAD)0.0375
Skewness2.79757152
Sum16313.1231
Variance0.01154815111
MonotonicityNot monotonic
2023-02-02T09:13:10.643696image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 582
 
0.2%
0.057 247
 
0.1%
0.0547 230
 
0.1%
0.0548 227
 
0.1%
0.055 227
 
0.1%
0.0555 227
 
0.1%
0.0551 225
 
0.1%
0.0573 220
 
0.1%
0.0554 220
 
0.1%
0.0566 219
 
0.1%
Other values (5106) 156456
50.9%
(Missing) 148431
48.3%
ValueCountFrequency (%)
0 582
0.2%
0.0001 10
 
< 0.1%
0.0002 4
 
< 0.1%
0.0003 24
 
< 0.1%
0.0004 18
 
< 0.1%
ValueCountFrequency (%)
1 155
0.1%
0.9973 1
 
< 0.1%
0.9931 1
 
< 0.1%
0.992 1
 
< 0.1%
0.979 2
 
< 0.1%
Distinct7
Distinct (%)< 0.1%
Missing156341
Missing (%)50.8%
Memory size2.3 MiB
Panel
66040 
Stone, brick
64815 
Block
9253 
Wooden
 
5362
Mixed
 
2296
Other values (2)
 
3404

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStone, brick
2nd rowBlock
3rd rowPanel
4th rowPanel
5th rowStone, brick

Common Values

ValueCountFrequency (%)
Panel 66040
21.5%
Stone, brick 64815
21.1%
Block 9253
 
3.0%
Wooden 5362
 
1.7%
Mixed 2296
 
0.7%
Monolithic 1779
 
0.6%
Others 1625
 
0.5%
(Missing) 156341
50.8%

Common Values (Plot)

2023-02-02T09:13:12.152696image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

EMERGENCYSTATE_MODE
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing145755
Missing (%)47.4%
Memory size2.3 MiB
No
159428 
Yes
 
2328

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No 159428
51.8%
Yes 2328
 
0.8%
(Missing) 145755
47.4%

Common Values (Plot)

2023-02-02T09:13:13.573734image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

OBS_30_CNT_SOCIAL_CIRCLE
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.422245424
Minimum0
Maximum348
Zeros163910
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:14.514738image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum348
Range348
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.400988746
Coefficient of variation (CV)1.688167672
Kurtosis1424.815552
Mean1.422245424
Median Absolute Deviation (MAD)0
Skewness12.13959776
Sum435904
Variance5.764746959
MonotonicityNot monotonic
2023-02-02T09:13:15.633696image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 163910
53.3%
1 48783
 
15.9%
2 29808
 
9.7%
3 20322
 
6.6%
4 14143
 
4.6%
5 9553
 
3.1%
6 6453
 
2.1%
7 4390
 
1.4%
8 2967
 
1.0%
9 2003
 
0.7%
Other values (23) 4158
 
1.4%
ValueCountFrequency (%)
0 163910
53.3%
1 48783
 
15.9%
2 29808
 
9.7%
3 20322
 
6.6%
4 14143
 
4.6%
ValueCountFrequency (%)
348 1
< 0.1%
47 1
< 0.1%
30 2
< 0.1%
29 1
< 0.1%
28 1
< 0.1%

DEF_30_CNT_SOCIAL_CIRCLE
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.1434206663
Minimum0
Maximum34
Zeros271324
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:16.934693image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4466984294
Coefficient of variation (CV)3.114602944
Kurtosis126.3124449
Mean0.1434206663
Median Absolute Deviation (MAD)0
Skewness5.183517952
Sum43957
Variance0.1995394868
MonotonicityNot monotonic
2023-02-02T09:13:18.007729image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 271324
88.2%
1 28328
 
9.2%
2 5323
 
1.7%
3 1192
 
0.4%
4 253
 
0.1%
5 56
 
< 0.1%
6 11
 
< 0.1%
7 1
 
< 0.1%
34 1
 
< 0.1%
8 1
 
< 0.1%
(Missing) 1021
 
0.3%
ValueCountFrequency (%)
0 271324
88.2%
1 28328
 
9.2%
2 5323
 
1.7%
3 1192
 
0.4%
4 253
 
0.1%
ValueCountFrequency (%)
34 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 11
 
< 0.1%
5 56
< 0.1%

OBS_60_CNT_SOCIAL_CIRCLE
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.405292179
Minimum0
Maximum344
Zeros164666
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:19.514721image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum344
Range344
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.379803352
Coefficient of variation (CV)1.693458049
Kurtosis1409.704557
Mean1.405292179
Median Absolute Deviation (MAD)0
Skewness12.0708287
Sum430708
Variance5.663463994
MonotonicityNot monotonic
2023-02-02T09:13:20.470690image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 164666
53.5%
1 48870
 
15.9%
2 29766
 
9.7%
3 20215
 
6.6%
4 13946
 
4.5%
5 9463
 
3.1%
6 6349
 
2.1%
7 4344
 
1.4%
8 2886
 
0.9%
9 1959
 
0.6%
Other values (23) 4026
 
1.3%
ValueCountFrequency (%)
0 164666
53.5%
1 48870
 
15.9%
2 29766
 
9.7%
3 20215
 
6.6%
4 13946
 
4.5%
ValueCountFrequency (%)
344 1
< 0.1%
47 1
< 0.1%
30 1
< 0.1%
29 2
< 0.1%
28 1
< 0.1%

DEF_60_CNT_SOCIAL_CIRCLE
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.1000489412
Minimum0
Maximum24
Zeros280721
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:21.373688image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.362290804
Coefficient of variation (CV)3.621135811
Kurtosis86.56285559
Mean0.1000489412
Median Absolute Deviation (MAD)0
Skewness5.277878293
Sum30664
Variance0.1312546266
MonotonicityNot monotonic
2023-02-02T09:13:22.070694image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 280721
91.3%
1 21841
 
7.1%
2 3170
 
1.0%
3 598
 
0.2%
4 135
 
< 0.1%
5 20
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
24 1
 
< 0.1%
(Missing) 1021
 
0.3%
ValueCountFrequency (%)
0 280721
91.3%
1 21841
 
7.1%
2 3170
 
1.0%
3 598
 
0.2%
4 135
 
< 0.1%
ValueCountFrequency (%)
24 1
 
< 0.1%
7 1
 
< 0.1%
6 3
 
< 0.1%
5 20
 
< 0.1%
4 135
< 0.1%

DAYS_LAST_PHONE_CHANGE
Real number (ℝ)

Distinct3773
Distinct (%)1.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-962.8587883
Minimum-4292
Maximum0
Zeros37672
Zeros (%)12.3%
Negative269838
Negative (%)87.7%
Memory size2.3 MiB
2023-02-02T09:13:23.591907image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum-4292
5-th percentile-2522
Q1-1570
median-757
Q3-274
95-th percentile0
Maximum0
Range4292
Interquartile range (IQR)1296

Descriptive statistics

Standard deviation826.808487
Coefficient of variation (CV)-0.858701709
Kurtosis-0.3085799414
Mean-962.8587883
Median Absolute Deviation (MAD)627
Skewness-0.7136056679
Sum-296088706
Variance683612.2742
MonotonicityNot monotonic
2023-02-02T09:13:25.345890image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37672
 
12.3%
-1 2812
 
0.9%
-2 2318
 
0.8%
-3 1763
 
0.6%
-4 1285
 
0.4%
-5 824
 
0.3%
-6 537
 
0.2%
-7 442
 
0.1%
-8 278
 
0.1%
-476 222
 
0.1%
Other values (3763) 259357
84.3%
ValueCountFrequency (%)
-4292 1
< 0.1%
-4185 1
< 0.1%
-4173 1
< 0.1%
-4153 1
< 0.1%
-4131 1
< 0.1%
ValueCountFrequency (%)
0 37672
12.3%
-1 2812
 
0.9%
-2 2318
 
0.8%
-3 1763
 
0.6%
-4 1285
 
0.4%

FLAG_DOCUMENT_2
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.227491049 × 10-5
Minimum0
Maximum1
Zeros307498
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:26.724892image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.006501789045
Coefficient of variation (CV)153.7978193
Kurtosis23650.07691
Mean4.227491049 × 10-5
Median Absolute Deviation (MAD)0
Skewness153.7918174
Sum13
Variance4.227326079 × 10-5
MonotonicityNot monotonic
2023-02-02T09:13:27.785887image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307498
> 99.9%
1 13
 
< 0.1%
ValueCountFrequency (%)
0 307498
> 99.9%
1 13
 
< 0.1%
ValueCountFrequency (%)
1 13
 
< 0.1%
0 307498
> 99.9%

FLAG_DOCUMENT_3
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7100233813
Minimum0
Maximum1
Zeros89171
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:28.468895image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4537519684
Coefficient of variation (CV)0.6390662342
Kurtosis-1.143040848
Mean0.7100233813
Median Absolute Deviation (MAD)0
Skewness-0.9257248975
Sum218340
Variance0.2058908489
MonotonicityNot monotonic
2023-02-02T09:13:29.061887image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 218340
71.0%
0 89171
29.0%
ValueCountFrequency (%)
0 89171
29.0%
1 218340
71.0%
ValueCountFrequency (%)
1 218340
71.0%
0 89171
29.0%

FLAG_DOCUMENT_4
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.129790479 × 10-5
Minimum0
Maximum1
Zeros307486
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:29.795896image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.009016183217
Coefficient of variation (CV)110.9030207
Kurtosis12295.64002
Mean8.129790479 × 10-5
Median Absolute Deviation (MAD)0
Skewness110.8943644
Sum25
Variance8.129155979 × 10-5
MonotonicityNot monotonic
2023-02-02T09:13:30.460888image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307486
> 99.9%
1 25
 
< 0.1%
ValueCountFrequency (%)
0 307486
> 99.9%
1 25
 
< 0.1%
ValueCountFrequency (%)
1 25
 
< 0.1%
0 307486
> 99.9%

FLAG_DOCUMENT_5
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01511490646
Minimum0
Maximum1
Zeros302863
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:31.794884image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1220102228
Coefficient of variation (CV)8.072178491
Kurtosis61.17621478
Mean0.01511490646
Median Absolute Deviation (MAD)0
Skewness7.94832164
Sum4648
Variance0.01488649447
MonotonicityNot monotonic
2023-02-02T09:13:32.173894image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 302863
98.5%
1 4648
 
1.5%
ValueCountFrequency (%)
0 302863
98.5%
1 4648
 
1.5%
ValueCountFrequency (%)
1 4648
 
1.5%
0 302863
98.5%

FLAG_DOCUMENT_6
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08805538664
Minimum0
Maximum1
Zeros280433
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:32.825894image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2833758929
Coefficient of variation (CV)3.218155114
Kurtosis6.453170922
Mean0.08805538664
Median Absolute Deviation (MAD)0
Skewness2.907426517
Sum27078
Variance0.08030189666
MonotonicityNot monotonic
2023-02-02T09:13:33.827887image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 280433
91.2%
1 27078
 
8.8%
ValueCountFrequency (%)
0 280433
91.2%
1 27078
 
8.8%
ValueCountFrequency (%)
1 27078
 
8.8%
0 280433
91.2%

FLAG_DOCUMENT_7
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001918630553
Minimum0
Maximum1
Zeros307452
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:34.386902image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01385015768
Coefficient of variation (CV)72.18772606
Kurtosis5207.135724
Mean0.0001918630553
Median Absolute Deviation (MAD)0
Skewness72.17410795
Sum59
Variance0.0001918268677
MonotonicityNot monotonic
2023-02-02T09:13:34.947884image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307452
> 99.9%
1 59
 
< 0.1%
ValueCountFrequency (%)
0 307452
> 99.9%
1 59
 
< 0.1%
ValueCountFrequency (%)
1 59
 
< 0.1%
0 307452
> 99.9%

FLAG_DOCUMENT_8
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08137595078
Minimum0
Maximum1
Zeros282487
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:35.503892image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2734120489
Coefficient of variation (CV)3.359863035
Kurtosis7.377366974
Mean0.08137595078
Median Absolute Deviation (MAD)0
Skewness3.062240845
Sum25024
Variance0.07475414851
MonotonicityNot monotonic
2023-02-02T09:13:36.039903image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 282487
91.9%
1 25024
 
8.1%
ValueCountFrequency (%)
0 282487
91.9%
1 25024
 
8.1%
ValueCountFrequency (%)
1 25024
 
8.1%
0 282487
91.9%

FLAG_DOCUMENT_9
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003895795598
Minimum0
Maximum1
Zeros306313
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:36.717895image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0622947108
Coefficient of variation (CV)15.99024108
Kurtosis251.6950013
Mean0.003895795598
Median Absolute Deviation (MAD)0
Skewness15.92775453
Sum1198
Variance0.003880630994
MonotonicityNot monotonic
2023-02-02T09:13:37.923931image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 306313
99.6%
1 1198
 
0.4%
ValueCountFrequency (%)
0 306313
99.6%
1 1198
 
0.4%
ValueCountFrequency (%)
1 1198
 
0.4%
0 306313
99.6%

FLAG_DOCUMENT_10
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.276341334 × 10-5
Minimum0
Maximum1
Zeros307504
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:38.628929image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.004771055354
Coefficient of variation (CV)209.5931433
Kurtosis43925.85711
Mean2.276341334 × 10-5
Median Absolute Deviation (MAD)0
Skewness209.5890537
Sum7
Variance2.276296919 × 10-5
MonotonicityNot monotonic
2023-02-02T09:13:39.804889image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307504
> 99.9%
1 7
 
< 0.1%
ValueCountFrequency (%)
0 307504
> 99.9%
1 7
 
< 0.1%
ValueCountFrequency (%)
1 7
 
< 0.1%
0 307504
> 99.9%

FLAG_DOCUMENT_11
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003912055179
Minimum0
Maximum1
Zeros306308
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:40.359903image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06242406327
Coefficient of variation (CV)15.95684632
Kurtosis250.6281384
Mean0.003912055179
Median Absolute Deviation (MAD)0
Skewness15.89422878
Sum1203
Variance0.003896763675
MonotonicityNot monotonic
2023-02-02T09:13:40.887902image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 306308
99.6%
1 1203
 
0.4%
ValueCountFrequency (%)
0 306308
99.6%
1 1203
 
0.4%
ValueCountFrequency (%)
1 1203
 
0.4%
0 306308
99.6%

FLAG_DOCUMENT_12
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.503832383 × 10-6
Minimum0
Maximum1
Zeros307509
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:41.462929image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.002550257092
Coefficient of variation (CV)392.1160542
Kurtosis153753
Mean6.503832383 × 10-6
Median Absolute Deviation (MAD)0
Skewness392.1147791
Sum2
Variance6.503811233 × 10-6
MonotonicityNot monotonic
2023-02-02T09:13:41.993929image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307509
> 99.9%
1 2
 
< 0.1%
ValueCountFrequency (%)
0 307509
> 99.9%
1 2
 
< 0.1%
ValueCountFrequency (%)
1 2
 
< 0.1%
0 307509
> 99.9%

FLAG_DOCUMENT_13
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003525077152
Minimum0
Maximum1
Zeros306427
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:42.536930image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05926771807
Coefficient of variation (CV)16.81316905
Kurtosis278.6898227
Mean0.003525077152
Median Absolute Deviation (MAD)0
Skewness16.75374615
Sum1084
Variance0.003512662406
MonotonicityNot monotonic
2023-02-02T09:13:43.046247image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 306427
99.6%
1 1084
 
0.4%
ValueCountFrequency (%)
0 306427
99.6%
1 1084
 
0.4%
ValueCountFrequency (%)
1 1084
 
0.4%
0 306427
99.6%

FLAG_DOCUMENT_14
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002936480321
Minimum0
Maximum1
Zeros306608
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:43.589151image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05410976738
Coefficient of variation (CV)18.42674272
Kurtosis335.5521636
Mean0.002936480321
Median Absolute Deviation (MAD)0
Skewness18.37253334
Sum903
Variance0.002927866926
MonotonicityNot monotonic
2023-02-02T09:13:44.126151image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 306608
99.7%
1 903
 
0.3%
ValueCountFrequency (%)
0 306608
99.7%
1 903
 
0.3%
ValueCountFrequency (%)
1 903
 
0.3%
0 306608
99.7%

FLAG_DOCUMENT_15
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001209712823
Minimum0
Maximum1
Zeros307139
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:44.680150image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03475993883
Coefficient of variation (CV)28.7340418
Kurtosis821.6570635
Mean0.001209712823
Median Absolute Deviation (MAD)0
Skewness28.69933309
Sum372
Variance0.001208253347
MonotonicityNot monotonic
2023-02-02T09:13:45.203107image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307139
99.9%
1 372
 
0.1%
ValueCountFrequency (%)
0 307139
99.9%
1 372
 
0.1%
ValueCountFrequency (%)
1 372
 
0.1%
0 307139
99.9%

FLAG_DOCUMENT_16
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009928100133
Minimum0
Maximum1
Zeros304458
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:45.743108image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09914416234
Coefficient of variation (CV)9.986217001
Kurtosis95.73580948
Mean0.009928100133
Median Absolute Deviation (MAD)0
Skewness9.886110804
Sum3053
Variance0.009829564926
MonotonicityNot monotonic
2023-02-02T09:13:46.259504image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 304458
99.0%
1 3053
 
1.0%
ValueCountFrequency (%)
0 304458
99.0%
1 3053
 
1.0%
ValueCountFrequency (%)
1 3053
 
1.0%
0 304458
99.0%

FLAG_DOCUMENT_17
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002666571277
Minimum0
Maximum1
Zeros307429
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:46.854515image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01632748874
Coefficient of variation (CV)61.23027305
Kurtosis3745.195328
Mean0.0002666571277
Median Absolute Deviation (MAD)0
Skewness61.21414027
Sum82
Variance0.0002665868886
MonotonicityNot monotonic
2023-02-02T09:13:47.401548image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307429
> 99.9%
1 82
 
< 0.1%
ValueCountFrequency (%)
0 307429
> 99.9%
1 82
 
< 0.1%
ValueCountFrequency (%)
1 82
 
< 0.1%
0 307429
> 99.9%

FLAG_DOCUMENT_18
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008129790479
Minimum0
Maximum1
Zeros305011
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:47.937518image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08979823611
Coefficient of variation (CV)11.04557815
Kurtosis118.0145348
Mean0.008129790479
Median Absolute Deviation (MAD)0
Skewness10.95507952
Sum2500
Variance0.008063723208
MonotonicityNot monotonic
2023-02-02T09:13:48.454378image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 305011
99.2%
1 2500
 
0.8%
ValueCountFrequency (%)
0 305011
99.2%
1 2500
 
0.8%
ValueCountFrequency (%)
1 2500
 
0.8%
0 305011
99.2%

FLAG_DOCUMENT_19
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005951006631
Minimum0
Maximum1
Zeros307328
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:48.996402image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02438746507
Coefficient of variation (CV)40.98040311
Kurtosis1675.415835
Mean0.0005951006631
Median Absolute Deviation (MAD)0
Skewness40.95613431
Sum183
Variance0.0005947484523
MonotonicityNot monotonic
2023-02-02T09:13:49.514043image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307328
99.9%
1 183
 
0.1%
ValueCountFrequency (%)
0 307328
99.9%
1 183
 
0.1%
ValueCountFrequency (%)
1 183
 
0.1%
0 307328
99.9%

FLAG_DOCUMENT_20
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005072989259
Minimum0
Maximum1
Zeros307355
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:50.057035image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02251762027
Coefficient of variation (CV)44.38728158
Kurtosis1966.256856
Mean0.0005072989259
Median Absolute Deviation (MAD)0
Skewness44.3648968
Sum156
Variance0.0005070432226
MonotonicityNot monotonic
2023-02-02T09:13:50.623183image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307355
99.9%
1 156
 
0.1%
ValueCountFrequency (%)
0 307355
99.9%
1 156
 
0.1%
ValueCountFrequency (%)
1 156
 
0.1%
0 307355
99.9%

FLAG_DOCUMENT_21
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0003349473677
Minimum0
Maximum1
Zeros307408
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:51.146127image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01829853182
Coefficient of variation (CV)54.63106621
Kurtosis2980.592507
Mean0.0003349473677
Median Absolute Deviation (MAD)0
Skewness54.61293914
Sum103
Variance0.0003348362669
MonotonicityNot monotonic
2023-02-02T09:13:51.679112image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307408
> 99.9%
1 103
 
< 0.1%
ValueCountFrequency (%)
0 307408
> 99.9%
1 103
 
< 0.1%
ValueCountFrequency (%)
1 103
 
< 0.1%
0 307408
> 99.9%

AMT_REQ_CREDIT_BUREAU_HOUR
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.006402448194
Minimum0
Maximum4
Zeros264366
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:52.235156image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08384912845
Coefficient of variation (CV)13.09641654
Kurtosis254.2436197
Mean0.006402448194
Median Absolute Deviation (MAD)0
Skewness14.53406206
Sum1703
Variance0.007030676341
MonotonicityNot monotonic
2023-02-02T09:13:52.788697image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 264366
86.0%
1 1560
 
0.5%
2 56
 
< 0.1%
3 9
 
< 0.1%
4 1
 
< 0.1%
(Missing) 41519
 
13.5%
ValueCountFrequency (%)
0 264366
86.0%
1 1560
 
0.5%
2 56
 
< 0.1%
3 9
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 9
 
< 0.1%
2 56
 
< 0.1%
1 1560
 
0.5%
0 264366
86.0%

AMT_REQ_CREDIT_BUREAU_DAY
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.007000210533
Minimum0
Maximum9
Zeros264503
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:53.456068image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1107574063
Coefficient of variation (CV)15.82201075
Kurtosis1151.867594
Mean0.007000210533
Median Absolute Deviation (MAD)0
Skewness27.04350471
Sum1862
Variance0.01226720306
MonotonicityNot monotonic
2023-02-02T09:13:54.000092image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 264503
86.0%
1 1292
 
0.4%
2 106
 
< 0.1%
3 45
 
< 0.1%
4 26
 
< 0.1%
5 9
 
< 0.1%
6 8
 
< 0.1%
9 2
 
< 0.1%
8 1
 
< 0.1%
(Missing) 41519
 
13.5%
ValueCountFrequency (%)
0 264503
86.0%
1 1292
 
0.4%
2 106
 
< 0.1%
3 45
 
< 0.1%
4 26
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 1
 
< 0.1%
6 8
 
< 0.1%
5 9
 
< 0.1%
4 26
< 0.1%

AMT_REQ_CREDIT_BUREAU_WEEK
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.0343619357
Minimum0
Maximum8
Zeros257456
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:54.596096image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2046848758
Coefficient of variation (CV)5.956732985
Kurtosis166.75223
Mean0.0343619357
Median Absolute Deviation (MAD)0
Skewness9.293572552
Sum9140
Variance0.04189589839
MonotonicityNot monotonic
2023-02-02T09:13:55.159070image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 257456
83.7%
1 8208
 
2.7%
2 199
 
0.1%
3 58
 
< 0.1%
4 34
 
< 0.1%
6 20
 
< 0.1%
5 10
 
< 0.1%
8 5
 
< 0.1%
7 2
 
< 0.1%
(Missing) 41519
 
13.5%
ValueCountFrequency (%)
0 257456
83.7%
1 8208
 
2.7%
2 199
 
0.1%
3 58
 
< 0.1%
4 34
 
< 0.1%
ValueCountFrequency (%)
8 5
 
< 0.1%
7 2
 
< 0.1%
6 20
< 0.1%
5 10
 
< 0.1%
4 34
< 0.1%

AMT_REQ_CREDIT_BUREAU_MON
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.26739526
Minimum0
Maximum27
Zeros222233
Zeros (%)72.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:55.802868image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9160023962
Coefficient of variation (CV)3.425649341
Kurtosis90.4348572
Mean0.26739526
Median Absolute Deviation (MAD)0
Skewness7.804848087
Sum71125
Variance0.8390603898
MonotonicityNot monotonic
2023-02-02T09:13:56.481779image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 222233
72.3%
1 33147
 
10.8%
2 5386
 
1.8%
3 1991
 
0.6%
4 1076
 
0.3%
5 602
 
0.2%
6 343
 
0.1%
7 298
 
0.1%
9 206
 
0.1%
8 185
 
0.1%
Other values (14) 525
 
0.2%
(Missing) 41519
 
13.5%
ValueCountFrequency (%)
0 222233
72.3%
1 33147
 
10.8%
2 5386
 
1.8%
3 1991
 
0.6%
4 1076
 
0.3%
ValueCountFrequency (%)
27 1
 
< 0.1%
24 1
 
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
19 3
< 0.1%

AMT_REQ_CREDIT_BUREAU_QRT
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.2654741496
Minimum0
Maximum261
Zeros215417
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:57.069803image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum261
Range261
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7940556483
Coefficient of variation (CV)2.991084629
Kurtosis43707.46475
Mean0.2654741496
Median Absolute Deviation (MAD)0
Skewness134.365776
Sum70614
Variance0.6305243726
MonotonicityNot monotonic
2023-02-02T09:13:57.683804image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 215417
70.1%
1 33862
 
11.0%
2 14412
 
4.7%
3 1717
 
0.6%
4 476
 
0.2%
5 64
 
< 0.1%
6 28
 
< 0.1%
8 7
 
< 0.1%
7 7
 
< 0.1%
261 1
 
< 0.1%
(Missing) 41519
 
13.5%
ValueCountFrequency (%)
0 215417
70.1%
1 33862
 
11.0%
2 14412
 
4.7%
3 1717
 
0.6%
4 476
 
0.2%
ValueCountFrequency (%)
261 1
 
< 0.1%
19 1
 
< 0.1%
8 7
 
< 0.1%
7 7
 
< 0.1%
6 28
< 0.1%

AMT_REQ_CREDIT_BUREAU_YEAR
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean1.899974435
Minimum0
Maximum25
Zeros71801
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2023-02-02T09:13:58.295779image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum25
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.869294998
Coefficient of variation (CV)0.9838527106
Kurtosis1.969034037
Mean1.899974435
Median Absolute Deviation (MAD)1
Skewness1.243590004
Sum505378
Variance3.49426379
MonotonicityNot monotonic
2023-02-02T09:13:58.951804image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 71801
23.3%
1 63405
20.6%
2 50192
16.3%
3 33628
10.9%
4 20714
 
6.7%
5 12052
 
3.9%
6 6967
 
2.3%
7 3869
 
1.3%
8 2127
 
0.7%
9 1096
 
0.4%
Other values (15) 141
 
< 0.1%
(Missing) 41519
13.5%
ValueCountFrequency (%)
0 71801
23.3%
1 63405
20.6%
2 50192
16.3%
3 33628
10.9%
4 20714
 
6.7%
ValueCountFrequency (%)
25 1
< 0.1%
23 1
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%